Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Lerman, Israël César
ISBN 10: 1447173929 ISBN 13: 9781447173922
Editorial: Springer, 2018
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GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 6 de abril de 2009
Este artículo en concreto ya no está disponible.
Descripción
Descripción:
N° de ref. del artículo 32720898-n
Sinopsis:
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.
De la contraportada:
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Detalles bibliográficos
Título: Foundations and Methods in Combinatorial and...
Editorial: Springer
Año de publicación: 2018
Encuadernación: Encuadernación de tapa blanda
Condición: New
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Springer London, Springer London Apr 2018, 2018
ISBN 10: 1447173929
ISBN 13: 9781447173922
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Taschenbuch. Condición: Neu. Neuware -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 categoriesEstablishing correspondence between these two dual clusteringsTools 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 672 pp. Englisch. Nº de ref. del artículo: 9781447173922
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ISBN 10: 1447173929
ISBN 13: 9781447173922
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