Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering - Rilegato

Libro 51 di 66: Advanced Information and Knowledge Processing

Lerman, Israël César

 
9781447167914: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Rilegato
ISBN 10: 1447167910 ISBN 13: 9781447167914
Casa editrice: Springer-Verlag New York Inc, 2016

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

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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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Verlag New York Inc
Data di pubblicazione
2016
Lingua
Inglese
ISBN 10 
1447167910
ISBN 13 
9781447167914
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
672
Contatto del produttore
non disponibile
Persona responsabile
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Germania

Altre edizioni note dello stesso titolo

9781447173922: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Edizione in evidenza

ISBN 10:  1447173929 ISBN 13:  9781447173922
Casa editrice: Springer, 2018
Brossura