Comparison of Several Algorithms for Celestial object Classification
Identifieur interne : 000B35 ( Main/Exploration ); précédent : 000B34; suivant : 000B36Comparison of Several Algorithms for Celestial object Classification
Auteurs : NANBO PENG [République populaire de Chine] ; YANXIA ZHANG [République populaire de Chine] ; YONGHENG ZHAO [République populaire de Chine]Source :
- Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2010.
Descripteurs français
- Pascal (Inist)
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Abstract
We present a comparative study of implementation of supervised classification algorithms on classification of celestial objects. Three different algorithms including Linear Discriminant Analysis (LDA), K-Dimensional Tree (KD-tree), Support Vector Machines (SVMs) are used for classification of pointed sources from the Sloan Digital Sky Survey (SDSS) Data Release Seven. All of them have been applied and tested on the SDSS photometric data which are filtered by stringent conditions to make them play the best performance. Each of six performance metrics of SVMs can achieve very high performance (99.00%). The performances of KD-tree are also very good since six metrics are over 97.00%. Although five metrics are more than 90.00%, the performances of LDA are relatively poor because the accuracy of positive prediction only reaches 85.98%. Moreover, we discuss what input pattern is the best combination of different parameters for the effectiveness of these methods, respectively.
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SPIE Int. Soc. Opt. Eng.</title><idno type="ISSN">0277-786X</idno><imprint><date when="2010">2010</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Proceedings of SPIE, the International Society for Optical Engineering</title><title level="j" type="abbreviated">Proc. SPIE Int. Soc. Opt. Eng.</title><idno type="ISSN">0277-786X</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Discriminant analysis</term><term>Graph theory</term><term>High performance</term><term>Metric</term><term>Photometry</term><term>Point source</term><term>Sky</term><term>Statistical analysis</term><term>Supervised classification</term><term>Vector support machine</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Analyse discriminante</term><term>Haute performance</term><term>Classification supervisée</term><term>Source ponctuelle</term><term>Ciel</term><term>Photométrie</term><term>Métrique</term><term>Théorie graphe</term><term>Analyse statistique</term><term>Classification à vaste marge</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We present a comparative study of implementation of supervised classification algorithms on classification of celestial objects. Three different algorithms including Linear Discriminant Analysis (LDA), K-Dimensional Tree (KD-tree), Support Vector Machines (SVMs) are used for classification of pointed sources from the Sloan Digital Sky Survey (SDSS) Data Release Seven. All of them have been applied and tested on the SDSS photometric data which are filtered by stringent conditions to make them play the best performance. Each of six performance metrics of SVMs can achieve very high performance (99.00%). The performances of KD-tree are also very good since six metrics are over 97.00%. Although five metrics are more than 90.00%, the performances of LDA are relatively poor because the accuracy of positive prediction only reaches 85.98%. Moreover, we discuss what input pattern is the best combination of different parameters for the effectiveness of these methods, respectively.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country><settlement><li>Pékin</li></settlement></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Nanbo Peng" sort="Nanbo Peng" uniqKey="Nanbo Peng" last="Nanbo Peng">NANBO PENG</name></noRegion><name sortKey="Yanxia Zhang" sort="Yanxia Zhang" uniqKey="Yanxia Zhang" last="Yanxia Zhang">YANXIA ZHANG</name><name sortKey="Yongheng Zhao" sort="Yongheng Zhao" uniqKey="Yongheng Zhao" last="Yongheng Zhao">YONGHENG ZHAO</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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