MULTIVARIATE MIXTURE OF NORMALS WITH UNKNOWN NUMBER OF COMPONENTS: AN APPLICATION TO CLUSTER NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF
Identifieur interne : 000067 ( Istex/Corpus ); précédent : 000066; suivant : 000068MULTIVARIATE MIXTURE OF NORMALS WITH UNKNOWN NUMBER OF COMPONENTS: AN APPLICATION TO CLUSTER NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF
Auteurs : Ioulia Papageorgiou ; Ioannis LiritzisSource :
- Archaeometry [ 0003-813X ] ; 2007-11.
English descriptors
- KwdEn :
- Aegean, Aegean prehistory, Algorithm, American journal, Anatolia, Anatolian studies, Ancient humans, Archaeometry, Average linkage, Bayesian, Bayesian analysis, Bayesian approach, Bayesian inference, Case study, Ceramic sherds, Ceramics, Chemical analysis, Clear groups, Cluster analysis, Component plots, Covariance matrices, Cyprus, Data distribution assumptions, Dellaportas, Detection limits, Early bronze, Elemental composition, English version, Ftelia, Future observation, Hierarchical, International series, Kalithies, Large number, Late bronze, Late chalcolithic, Liritzis, Liritzis figure, Main groups, Matrix, Maximum likelihood, Mediterranean archaeology, Mediterranean studies, Mesolithic, Methodology, Multivariate, Multivariate mixture, Multivariate mixtures, Neolithic, Neolithic ceramics, Neolithic period, Neolithic settlement, Nite mixture, Other hand, Papageorgiou, Parameter, Parameter vector, Pottery samples, Powerful bayesian technique, Predictive, Predictive density, Prehistoric, Prehistoric settlements, Prehistory, Principal components, Principal components analysis, Provenance, Provenance studies, Rjmcmc, Rjmcmc methodology, Same clay source, Same number, Same time, Sampson, Separate group, Standard methods, Statistical analysis, Statistical methodologies, Total number, Trace elements, Ulucak, Unknown number, Unknown parameters, Western anatolia, Western asia, Wide region, Yali.
- Teeft :
- Aegean, Aegean prehistory, Algorithm, American journal, Anatolia, Anatolian studies, Ancient humans, Archaeometry, Average linkage, Bayesian, Bayesian analysis, Bayesian approach, Bayesian inference, Case study, Ceramic sherds, Ceramics, Chemical analysis, Clear groups, Cluster analysis, Component plots, Covariance matrices, Cyprus, Data distribution assumptions, Dellaportas, Detection limits, Early bronze, Elemental composition, English version, Ftelia, Future observation, Hierarchical, International series, Kalithies, Large number, Late bronze, Late chalcolithic, Liritzis, Liritzis figure, Main groups, Matrix, Maximum likelihood, Mediterranean archaeology, Mediterranean studies, Mesolithic, Methodology, Multivariate, Multivariate mixture, Multivariate mixtures, Neolithic, Neolithic ceramics, Neolithic period, Neolithic settlement, Nite mixture, Other hand, Papageorgiou, Parameter, Parameter vector, Pottery samples, Powerful bayesian technique, Predictive, Predictive density, Prehistoric, Prehistoric settlements, Prehistory, Principal components, Principal components analysis, Provenance, Provenance studies, Rjmcmc, Rjmcmc methodology, Same clay source, Same number, Same time, Sampson, Separate group, Standard methods, Statistical analysis, Statistical methodologies, Total number, Trace elements, Ulucak, Unknown number, Unknown parameters, Western anatolia, Western asia, Wide region, Yali.
Abstract
Multivariate techniques and especially cluster analysis have been commonly used in archaeometry. Exploratory and model‐based techniques of clustering have been applied to geochemical (continuous) data of archaeological artefacts for provenance studies. Model‐based clustering techniques such as classification maximum likelihood and mixture maximum likelihood have been used to a lesser extent in this context and, although they seem to be suitable for such data, they either present practical difficulties—such as high dimensionality of the data—or their performance gives no evidence that they are superior to standard methods. In this paper standard statistical methods (hierarchical clustering, principal components analysis) and the recently developed model‐based multivariate mixture of normals with an unknown number of components, are applied and compared. The data set provides chemical compositions of 188 ceramic samples derived from the Aegean islands and surrounding areas.
Url:
DOI: 10.1111/j.1475-4754.2007.00336.x
Links to Exploration step
ISTEX:A86BC32714E477625938A493A3B111F0225B0C63Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">MULTIVARIATE MIXTURE OF NORMALS WITH UNKNOWN NUMBER OF COMPONENTS: AN APPLICATION TO CLUSTER NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF</title><author><name sortKey="Papageorgiou, Ioulia" sort="Papageorgiou, Ioulia" uniqKey="Papageorgiou I" first="Ioulia" last="Papageorgiou">Ioulia Papageorgiou</name><affiliation><mods:affiliation>Department of Statistics, Athens University of Economics and Business, Patission 76, 10334 Athens, Greece</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: ioulia@aueb.gr</mods:affiliation></affiliation></author><author><name sortKey="Liritzis, Ioannis" sort="Liritzis, Ioannis" uniqKey="Liritzis I" first="Ioannis" last="Liritzis">Ioannis Liritzis</name><affiliation><mods:affiliation>Laboratory of Archaeometry, Dept of Mediterranean Studies, University of the Aegean, 1 Demokratias Ave, Rhodes 85100, 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Papageorgiou</name><affiliation><mods:affiliation>Department of Statistics, Athens University of Economics and Business, Patission 76, 10334 Athens, Greece</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: ioulia@aueb.gr</mods:affiliation></affiliation></author><author><name sortKey="Liritzis, Ioannis" sort="Liritzis, Ioannis" uniqKey="Liritzis I" first="Ioannis" last="Liritzis">Ioannis Liritzis</name><affiliation><mods:affiliation>Laboratory of Archaeometry, Dept of Mediterranean Studies, University of the Aegean, 1 Demokratias Ave, Rhodes 85100, Greece</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">Archaeometry</title><title level="j" type="alt">ARCHAEOMETRY</title><idno type="ISSN">0003-813X</idno><idno type="eISSN">1475-4754</idno><imprint><biblScope unit="vol">49</biblScope><biblScope unit="issue">4</biblScope><biblScope unit="page" from="795">795</biblScope><biblScope unit="page" 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distribution assumptions</term><term>Dellaportas</term><term>Detection limits</term><term>Early bronze</term><term>Elemental composition</term><term>English version</term><term>Ftelia</term><term>Future observation</term><term>Hierarchical</term><term>International series</term><term>Kalithies</term><term>Large number</term><term>Late bronze</term><term>Late chalcolithic</term><term>Liritzis</term><term>Liritzis figure</term><term>Main groups</term><term>Matrix</term><term>Maximum likelihood</term><term>Mediterranean archaeology</term><term>Mediterranean studies</term><term>Mesolithic</term><term>Methodology</term><term>Multivariate</term><term>Multivariate mixture</term><term>Multivariate mixtures</term><term>Neolithic</term><term>Neolithic ceramics</term><term>Neolithic period</term><term>Neolithic settlement</term><term>Nite mixture</term><term>Other hand</term><term>Papageorgiou</term><term>Parameter</term><term>Parameter vector</term><term>Pottery samples</term><term>Powerful bayesian technique</term><term>Predictive</term><term>Predictive density</term><term>Prehistoric</term><term>Prehistoric settlements</term><term>Prehistory</term><term>Principal components</term><term>Principal components analysis</term><term>Provenance</term><term>Provenance studies</term><term>Rjmcmc</term><term>Rjmcmc methodology</term><term>Same clay source</term><term>Same number</term><term>Same time</term><term>Sampson</term><term>Separate group</term><term>Standard methods</term><term>Statistical analysis</term><term>Statistical methodologies</term><term>Total number</term><term>Trace elements</term><term>Ulucak</term><term>Unknown number</term><term>Unknown parameters</term><term>Western anatolia</term><term>Western asia</term><term>Wide region</term><term>Yali</term></keywords><keywords scheme="Teeft" xml:lang="en"><term>Aegean</term><term>Aegean prehistory</term><term>Algorithm</term><term>American journal</term><term>Anatolia</term><term>Anatolian 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archaeology</term><term>Mediterranean studies</term><term>Mesolithic</term><term>Methodology</term><term>Multivariate</term><term>Multivariate mixture</term><term>Multivariate mixtures</term><term>Neolithic</term><term>Neolithic ceramics</term><term>Neolithic period</term><term>Neolithic settlement</term><term>Nite mixture</term><term>Other hand</term><term>Papageorgiou</term><term>Parameter</term><term>Parameter vector</term><term>Pottery samples</term><term>Powerful bayesian technique</term><term>Predictive</term><term>Predictive density</term><term>Prehistoric</term><term>Prehistoric settlements</term><term>Prehistory</term><term>Principal components</term><term>Principal components analysis</term><term>Provenance</term><term>Provenance studies</term><term>Rjmcmc</term><term>Rjmcmc methodology</term><term>Same clay source</term><term>Same number</term><term>Same time</term><term>Sampson</term><term>Separate group</term><term>Standard methods</term><term>Statistical 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Statistics, Athens University of Economics and Business, Patission 76, 10334 Athens, Greece</json:string><json:string>E-mail: ioulia@aueb.gr</json:string></affiliations></json:item><json:item><name>IOANNIS LIRITZIS</name><affiliations><json:string>Laboratory of Archaeometry, Dept of Mediterranean Studies, University of the Aegean, 1 Demokratias Ave, Rhodes 85100, Greece</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>CERAMIC COMPOSITIONS</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>CLUSTER ANALYSIS</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>MIXTURE MAXIMUM LIKELIHOOD</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>REVERSIBLE JUMP</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>OUTLIERS</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>PORTABLE XRF</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>AEGEAN</value></json:item></subject><articleId><json:string>ARCM336</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>Multivariate techniques and especially cluster analysis have been commonly used in archaeometry. Exploratory and model‐based techniques of clustering have been applied to geochemical (continuous) data of archaeological artefacts for provenance studies. Model‐based clustering techniques such as classification maximum likelihood and mixture maximum likelihood have been used to a lesser extent in this context and, although they seem to be suitable for such data, they either present practical difficulties—such as high dimensionality of the data—or their performance gives no evidence that they are superior to standard methods. In this paper standard statistical methods (hierarchical clustering, principal components analysis) and the recently developed model‐based multivariate mixture of normals with an unknown number of components, are applied and compared. The data set provides chemical compositions of 188 ceramic samples derived from the Aegean islands and surrounding areas.</abstract><qualityIndicators><score>7.108</score><pdfVersion>1.4</pdfVersion><pdfPageSize>484.805 x 697.207 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>986</abstractCharCount><pdfWordCount>7118</pdfWordCount><pdfCharCount>42486</pdfCharCount><pdfPageCount>19</pdfPageCount><abstractWordCount>134</abstractWordCount></qualityIndicators><title>MULTIVARIATE MIXTURE OF NORMALS WITH UNKNOWN NUMBER OF COMPONENTS: AN APPLICATION TO CLUSTER NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF</title><genre><json:string>article</json:string></genre><host><title>Archaeometry</title><language><json:string>unknown</json:string></language><doi><json:string>10.1111/(ISSN)1475-4754</json:string></doi><issn><json:string>0003-813X</json:string></issn><eissn><json:string>1475-4754</json:string></eissn><publisherId><json:string>ARCM</json:string></publisherId><volume>49</volume><issue>4</issue><pages><first>795</first><last>813</last><total>19</total></pages><genre><json:string>journal</json:string></genre></host><categories><wos><json:string>science</json:string><json:string>geosciences, multidisciplinary</json:string><json:string>chemistry, inorganic & nuclear</json:string><json:string>chemistry, analytical</json:string></wos><scienceMetrix><json:string>arts & humanities</json:string><json:string>historical studies</json:string><json:string>archaeology</json:string></scienceMetrix><inist><json:string>sciences appliquees, technologies et 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NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF<ref type="note" target="#fn1">*</ref></title><title level="a" type="short">Clustering Neolithic ceramics from Aegean and Asia Minor using XRF</title><author xml:id="author-0000" role="corresp"><persName><forename type="first">IOULIA</forename><surname>PAPAGEORGIOU</surname></persName><affiliation>Department of Statistics, Athens University of Economics and Business, Patission 76, 10334 Athens, Greece<address><country key="GR"></country></address></affiliation><affiliation>†Corresponding author: email ioulia@aueb.gr</affiliation></author><author xml:id="author-0001"><persName><forename type="first">IOANNIS</forename><surname>LIRITZIS</surname></persName><affiliation>Laboratory of Archaeometry, Dept of Mediterranean Studies, University of the Aegean, 1 Demokratias Ave, Rhodes 85100, Greece<address><country key="GR"></country></address></affiliation></author><idno 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<hi rend="italic">Multivariate techniques and especially cluster analysis have been commonly used in archaeometry. Exploratory and model‐based techniques of clustering have been applied to geochemical (continuous) data of archaeological artefacts for provenance studies. Model‐based clustering techniques such as classification maximum likelihood and mixture maximum likelihood have been used to a lesser extent in this context and, although they seem to be suitable for such data, they either present practical difficulties—such as high dimensionality of the data—or their performance gives no evidence that they are superior to standard methods. In this paper standard statistical methods (hierarchical clustering, principal components analysis) and the recently developed model‐based multivariate mixture of normals with an unknown number of components, are applied and compared. The data set provides chemical compositions of 188 ceramic samples derived from the Aegean islands and surrounding areas.</hi>
</p></abstract><textClass><keywords xml:lang="en"><term xml:id="k1">CERAMIC COMPOSITIONS</term><term xml:id="k2">CLUSTER ANALYSIS</term><term xml:id="k3">MIXTURE MAXIMUM LIKELIHOOD</term><term xml:id="k4">REVERSIBLE JUMP</term><term xml:id="k5">OUTLIERS</term><term xml:id="k6">PORTABLE XRF</term><term xml:id="k7">AEGEAN</term></keywords><classCode scheme="tocHeading1">Original Articles</classCode></textClass><langUsage><language ident="EN"></language></langUsage></profileDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/A86BC32714E477625938A493A3B111F0225B0C63/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Publishing Ltd</publisherName><publisherLoc>Oxford, UK</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1475-4754</doi><issn type="print">0003-813X</issn><issn type="electronic">1475-4754</issn><idGroup><id type="product" value="ARCM"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="ARCHAEOMETRY">Archaeometry</title></titleGroup></publicationMeta><publicationMeta level="part" position="11004"><doi origin="wiley">10.1111/arch.2007.49.issue-4</doi><numberingGroup><numbering type="journalVolume" number="49">49</numbering><numbering type="journalIssue" number="4">4</numbering></numberingGroup><coverDate startDate="2007-11">November 2007</coverDate></publicationMeta><publicationMeta level="unit" type="article" position="12" status="forIssue"><doi origin="wiley">10.1111/j.1475-4754.2007.00336.x</doi><idGroup><id type="unit" value="ARCM336"></id></idGroup><countGroup><count type="pageTotal" number="19"></count></countGroup><titleGroup><title type="tocHeading1">Original Articles</title></titleGroup><eventGroup><event type="firstOnline" date="2007-09-06"></event><event type="publishedOnlineFinalForm" date="2007-09-06"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.5 mode:FullText source:FullText result:FullText" date="2010-04-06"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-05"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-16"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="795">795</numbering><numbering type="pageLast" number="813">813</numbering></numberingGroup><correspondenceTo>
†Corresponding author: email <email>ioulia@aueb.gr</email></correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:ARCM.ARCM336.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="6"></count><count type="tableTotal" number="2"></count><count type="formulaTotal" number="4"></count><count type="referenceTotal" number="58"></count><count type="wordTotal" number="4212"></count></countGroup><titleGroup><title type="main">MULTIVARIATE MIXTURE OF NORMALS WITH UNKNOWN NUMBER OF COMPONENTS: AN APPLICATION TO CLUSTER NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF<link href="#fn1">*</link></title><title type="shortAuthors"><i>I. Papageorgiou and I. Liritzis</i></title><title type="short"><i>Clustering Neolithic ceramics from Aegean and Asia Minor using XRF</i></title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1" corresponding="yes"><personName><givenNames>IOULIA</givenNames><familyName>PAPAGEORGIOU</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a2"><personName><givenNames>IOANNIS</givenNames><familyName>LIRITZIS</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="GR"><unparsedAffiliation>Department of Statistics, Athens University of Economics and Business, Patission 76, 10334 Athens, Greece</unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="GR"><unparsedAffiliation>Laboratory of Archaeometry, Dept of Mediterranean Studies, University of the Aegean, 1 Demokratias Ave, Rhodes 85100, Greece</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">CERAMIC COMPOSITIONS</keyword><keyword xml:id="k2">CLUSTER ANALYSIS</keyword><keyword xml:id="k3">MIXTURE MAXIMUM LIKELIHOOD</keyword><keyword xml:id="k4">REVERSIBLE JUMP</keyword><keyword xml:id="k5">OUTLIERS</keyword><keyword xml:id="k6">PORTABLE XRF</keyword><keyword xml:id="k7">AEGEAN</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p> <i>Multivariate techniques and especially cluster analysis have been commonly used in archaeometry. Exploratory and model‐based techniques of clustering have been applied to geochemical (continuous) data of archaeological artefacts for provenance studies. Model‐based clustering techniques such as classification maximum likelihood and mixture maximum likelihood have been used to a lesser extent in this context and, although they seem to be suitable for such data, they either present practical difficulties—such as high dimensionality of the data—or their performance gives no evidence that they are superior to standard methods. In this paper standard statistical methods (hierarchical clustering, principal components analysis) and the recently developed model‐based multivariate mixture of normals with an unknown number of components, are applied and compared. The data set provides chemical compositions of 188 ceramic samples derived from the Aegean islands and surrounding areas.</i> </p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><label>*</label><p>Received 28 October 2005; accepted 27 September 2006</p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>MULTIVARIATE MIXTURE OF NORMALS WITH UNKNOWN NUMBER OF COMPONENTS: AN APPLICATION TO CLUSTER NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Clustering Neolithic ceramics from Aegean and Asia Minor using XRF</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>MULTIVARIATE MIXTURE OF NORMALS WITH UNKNOWN NUMBER OF COMPONENTS: AN APPLICATION TO CLUSTER NEOLITHIC CERAMICS FROM AEGEAN AND ASIA MINOR USING PORTABLE XRF*</title></titleInfo><name type="personal"><namePart type="given">IOULIA</namePart><namePart type="family">PAPAGEORGIOU</namePart><affiliation>Department of Statistics, Athens University of Economics and Business, Patission 76, 10334 Athens, Greece</affiliation><affiliation>E-mail: ioulia@aueb.gr</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">IOANNIS</namePart><namePart type="family">LIRITZIS</namePart><affiliation>Laboratory of Archaeometry, Dept of Mediterranean Studies, University of the Aegean, 1 Demokratias Ave, Rhodes 85100, Greece</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><place><placeTerm type="text">Oxford, UK</placeTerm></place><dateIssued encoding="w3cdtf">2007-11</dateIssued><copyrightDate encoding="w3cdtf">2007</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">6</extent><extent unit="tables">2</extent><extent unit="formulas">4</extent><extent unit="references">58</extent><extent unit="words">4212</extent></physicalDescription><abstract lang="en">Multivariate techniques and especially cluster analysis have been commonly used in archaeometry. Exploratory and model‐based techniques of clustering have been applied to geochemical (continuous) data of archaeological artefacts for provenance studies. Model‐based clustering techniques such as classification maximum likelihood and mixture maximum likelihood have been used to a lesser extent in this context and, although they seem to be suitable for such data, they either present practical difficulties—such as high dimensionality of the data—or their performance gives no evidence that they are superior to standard methods. In this paper standard statistical methods (hierarchical clustering, principal components analysis) and the recently developed model‐based multivariate mixture of normals with an unknown number of components, are applied and compared. The data set provides chemical compositions of 188 ceramic samples derived from the Aegean islands and surrounding areas.</abstract><note type="content">*Received 28 October 2005; accepted 27 September 2006</note><subject lang="en"><genre>keywords</genre><topic>CERAMIC COMPOSITIONS</topic><topic>CLUSTER ANALYSIS</topic><topic>MIXTURE MAXIMUM LIKELIHOOD</topic><topic>REVERSIBLE JUMP</topic><topic>OUTLIERS</topic><topic>PORTABLE XRF</topic><topic>AEGEAN</topic></subject><relatedItem type="host"><titleInfo><title>Archaeometry</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0003-813X</identifier><identifier type="eISSN">1475-4754</identifier><identifier type="DOI">10.1111/(ISSN)1475-4754</identifier><identifier type="PublisherID">ARCM</identifier><part><date>2007</date><detail type="volume"><caption>vol.</caption><number>49</number></detail><detail type="issue"><caption>no.</caption><number>4</number></detail><extent unit="pages"><start>795</start><end>813</end><total>19</total></extent></part></relatedItem><identifier type="istex">A86BC32714E477625938A493A3B111F0225B0C63</identifier><identifier type="DOI">10.1111/j.1475-4754.2007.00336.x</identifier><identifier type="ArticleID">ARCM336</identifier><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Publishing Ltd</recordOrigin></recordInfo></mods><json:item><extension>json</extension><original>false</original><mimetype>application/json</mimetype><uri>https://api.istex.fr/document/A86BC32714E477625938A493A3B111F0225B0C63/metadata/json</uri></json:item></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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