Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering (Hardcover, 1st ed. 2016)

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 attributes Clustering 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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Advanced Information and Knowledge Processing
Release date:	March 2016
First published:	2016
Authors:	Israel Cesar Lerman
Dimensions:	235 x 155 x 37mm (L x W x T)
Format:	Hardcover - Cloth over boards
Pages:	647
Edition:	1st ed. 2016
ISBN-13:	978-1-4471-6791-4
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Databases > Data mining
LSN:	1-4471-6791-0
Barcode:	9781447167914

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