Edited by Gerard Govaert
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Data Analysis by Gerard Govaert
Book DescriptionThe first part of this book is devoted to methods seeking relevant dimensions of data. The variables thus obtained provide a synthetic description which often results in a graphical representation of the data. After a general presentation of the discriminating analysis, the second part is devoted to clustering methods which constitute another method, often complementary to the methods described in the first part, to synthesize and to analyze the data. The book concludes by examining the links existing between data mining and data analysis.
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Book DetailsISBN: 9781848210981
(241mm x 164mm x 23mm)
Imprint: ISTE Ltd and John Wiley & Sons Inc
Publisher: ISTE Ltd and John Wiley & Sons Inc
Publish Date: 12-Nov-2008
Country of Publication: United Kingdom
Books By Author Gerard Govaert
Co-Clustering, Hardback (November 2013)» View all books by Gerard Govaert
Briefly presenting different methods from well established to more recent, Co-Clustering considers a number of different approaches and addresses the difficulty of these classical methods to tackle the high dimensionality, the sparsity, and the scalability that leads to co-clustering.
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Author Biography - Gerard Govaert
Gerard Govaert is Professor at the University of Technology of Compiegne, France. He is also a member of the CNRS Laboratory Heudiasyc (Heuristic and diagnostic of complex systems). His research interests include latent structure modeling, model selection, model-based cluster analysis, block clustering and statistical pattern recognition. He is one of the authors of the MIXMOD (MIXture MODelling) software.
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