Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering (Advanced Information and Knowledge Processing)
Language: English
Published by Springer, 2018
Series: Book 51 of 66 - Advanced Information and Knowledge Processing
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
US$ 206.57
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Add to basketItem description from seller
In English.
Seller Inventory # ria9781447173922_new
- Title
- Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering (Advanced Information and Knowledge Processing)
- Author
- Lerman, Israël César
- Publisher
- Springer
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1447173929
- ISBN 13
- 9781447173922
- Item weight
- 1,048 grams
- Series
- Book 51 of 66: Advanced Information and Knowledge Processing
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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AbeBooks seller since March 25, 2015
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