Advanced Information and Knowledge Processing

Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering

Authors: Lerman, Israël César

  • Offers a step-by-step process of the path of the data to the synthetic structure summarizing the data given by a hierarchical or non-hierarchical clustering
  • Presents brand new principles and methods within the Data Mining field
  • Examines ascendant agglomerative hierarchical clustering and Likelihood Linkage Analysis (LLA) clustering methods from metrical, algorithmic and computational aspects
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eBook 130,89 €
price for France (gross)
  • ISBN 978-1-4471-6793-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 174,06 €
price for France (gross)
  • ISBN 978-1-4471-6791-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Reviews

“This book provides a synthetic and systematic presentation of clustering, combinatorial, and statistical data analysis. … the presentation is interesting and original. Keeping a smart balance between theoretical concepts and practical issues, the book is addressed to students and researchers interested in data mining, data analysis, and clustering.” (Florin Gorunescu, zbMATH 1338.62012, 2016)


Table of contents (12 chapters)

  • On Some Facets of the Partition Set of a Finite Set

    Lerman, Israël César

    Pages 1-59

    Preview Buy Chapter 29,94 €
  • Two Methods of Non-hierarchical Clustering

    Lerman, Israël César

    Pages 61-99

    Preview Buy Chapter 29,94 €
  • Structure and Mathematical Representation of Data

    Lerman, Israël César

    Pages 101-148

    Preview Buy Chapter 29,94 €
  • Ordinal and Metrical Analysis of the Resemblance Notion

    Lerman, Israël César

    Pages 149-197

    Preview Buy Chapter 29,94 €
  • Comparing Attributes by Probabilistic and Statistical Association I

    Lerman, Israël César

    Pages 199-249

    Preview Buy Chapter 29,94 €

Buy this book

eBook 130,89 €
price for France (gross)
  • ISBN 978-1-4471-6793-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 174,06 €
price for France (gross)
  • ISBN 978-1-4471-6791-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Authors
Series Title
Advanced Information and Knowledge Processing
Copyright
2016
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-6793-8
DOI
10.1007/978-1-4471-6793-8
Hardcover ISBN
978-1-4471-6791-4
Series ISSN
1610-3947
Edition Number
1
Number of Pages
XXIV, 647
Number of Illustrations and Tables
54 b/w illustrations
Topics