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Clustering, Cluster Inference and Applications in Clustering

Applications to the Analysis of Gene Expression Data
von Surajit Ray - Verkauft von Dodax
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CHF 62.60
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Surajit Ray Clustering, Cluster Inference and Applications in Clustering
Surajit Ray - Clustering, Cluster Inference and Applications in Clustering

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Beschreibung

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.

Mitwirkende

Autor Surajit Ray

Produktdetails

DUIN 1DIOAHALHDV

GTIN 9783845423623

Sprache Englisch

Seitenanzahl 184

Produkttyp Taschenbuch

CHF 62.60
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