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Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

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Éditeur :

Springer


Collection :

Advanced Information and Knowledge Processing

Paru le : 2016-03-24

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Description

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field.
With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial  and  statistical.
Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages: Clustering a set of descriptive attributesClustering a set of objects or a set of object categories Establishing correspondence between these two dual clusterings
Tools for interpreting the reasons of a given cluster or clustering are also included.
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.
Pages
647 pages
Collection
Advanced Information and Knowledge Processing
Parution
2016-03-24
Marque
Springer
EAN papier
9781447167914
EAN EPUB
9781447167938
Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
64
Taille du fichier
12083 Ko
Prix
147,69 €

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