Overview
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (12 chapters)
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Front Matter
Keywords
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)
Authors and Affiliations
Bibliographic Information
Book Title: Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Authors: Israël César Lerman
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-1-4471-6793-8
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2016
Hardcover ISBN: 978-1-4471-6791-4Published: 04 April 2016
Softcover ISBN: 978-1-4471-7392-2Published: 14 April 2018
eBook ISBN: 978-1-4471-6793-8Published: 24 March 2016
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: XXIV, 647
Number of Illustrations: 54 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Statistics and Computing/Statistics Programs, Combinatorics