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/Curation ); 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 [Grèce] ; Ioannis Liritzis [Grèce]Source :
- Archaeometry [ 0003-813X ] ; 2007-11.
Descripteurs français
- Wicri :
- geographic : Chypre (pays).
- topic : étude de cas, Céramique, Préhistoire.
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
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ISTEX:A86BC32714E477625938A493A3B111F0225B0C63Le document en format XML
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<term>Aegean prehistory</term>
<term>Algorithm</term>
<term>American journal</term>
<term>Anatolia</term>
<term>Anatolian studies</term>
<term>Ancient humans</term>
<term>Archaeometry</term>
<term>Average linkage</term>
<term>Bayesian</term>
<term>Bayesian analysis</term>
<term>Bayesian approach</term>
<term>Bayesian inference</term>
<term>Case study</term>
<term>Ceramic sherds</term>
<term>Ceramics</term>
<term>Chemical analysis</term>
<term>Clear groups</term>
<term>Cluster analysis</term>
<term>Component plots</term>
<term>Covariance matrices</term>
<term>Cyprus</term>
<term>Data 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>
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<term>Aegean prehistory</term>
<term>Algorithm</term>
<term>American journal</term>
<term>Anatolia</term>
<term>Anatolian studies</term>
<term>Ancient humans</term>
<term>Archaeometry</term>
<term>Average linkage</term>
<term>Bayesian</term>
<term>Bayesian analysis</term>
<term>Bayesian approach</term>
<term>Bayesian inference</term>
<term>Case study</term>
<term>Ceramic sherds</term>
<term>Ceramics</term>
<term>Chemical analysis</term>
<term>Clear groups</term>
<term>Cluster analysis</term>
<term>Component plots</term>
<term>Covariance matrices</term>
<term>Cyprus</term>
<term>Data 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>
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<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>
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<front><div type="abstract" xml: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.</div>
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