Published by Springer,, 2002
Seller: Antiquariat Knacke, Berlin, Germany
Sprache: Englisch OriginalKarton. Noch eingeschweißtes Exemplar!
Language: English
Published by Springer- Verlag Berlin Heidelberg, New York, 2002
ISBN 10: 354043691X ISBN 13: 9783540436911
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Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Clustering, Cluster Inference and Applications in Clustering | Applications to the Analysis of Gene Expression Data | Surajit Ray | Taschenbuch | 184 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783845423623 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
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Language: English
Published by Wiley-ISTE 2019-02-26, 2019
ISBN 10: 1786303825 ISBN 13: 9781786303820
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Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2019
ISBN 10: 1786303825 ISBN 13: 9781786303820
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Seller: Revaluation Books, Exeter, United Kingdom
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Language: English
Published by Springer, Springer Spektrum, 2002
ISBN 10: 354043691X ISBN 13: 9783540436911
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The present volume contains a selection of papers presented at the Eighth Conference of the International Federation of Classification Societies (IFCS) which was held in Cracow, Poland, July 16-19, 2002. All originally submitted papers were subject to a reviewing process by two independent referees, a procedure which resulted in the selection of the 53 articles presented in this volume. These articles relate to theoretical investigations as well as to practical applications and cover a wide range of topics in the broad domain of classifi cation, data analysis and related methods. If we try to classify the wealth of problems, methods and approaches into some representative (partially over lapping) groups, we find in particular the following areas: - Clustering - Cluster validation - Discrimination - Multivariate data analysis - Statistical methods - Symbolic data analysis - Consensus trees and phylogeny - Regression trees - Neural networks and genetic algorithms - Applications in economics, medicine, biology, and psychology. Given the international orientation of IFCS conferences and the leading role of IFCS in the scientific world of classification, clustering and data anal ysis, this volume collects a representative selection of current research and modern applications in this field and serves as an up-to-date information source for statisticians, data analysts, data mining specialists and computer scientists.
Language: English
Published by ISTE Ltd and John Wiley & Sons Inc, 2019
ISBN 10: 1786303825 ISBN 13: 9781786303820
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Language: English
Published by LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845423625 ISBN 13: 9783845423623
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Multivariate mixture models provide a convenient method of density estimation and model based clustering as well as providing possible explanations for the actual data generation process. But the problem of choosing the number of components in a statistically meaningful way is still a subject of considerable research. Available methods for estimation include, optimizing AIC and BIC, estimating the number through nonparametric maximum likelihood, hypothesis testing and Bayesian approaches with entropy distances. In our book we present several rules for selecting a finite mixture model, based on estimation and inference using a quadratic distance measure. In this book we also develop tools for determining the number of modes in a mixture of multivariate normal densities. We use these criterion to select clusters which display distinct modes. Finally we fine tune our methods to analyze gene-expression data from micro-arrays, and compare them with other competitive methods.