Data clustering in C++: an object-oriented approach

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Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the same group are similar and objects in different groups are quite distinct. Thousands of theoretical papers and a number of books on data clustering have been published over the past 50 years. However, few books exist to teach people how to implement data clustering algorithms. This book was written for anyone who wants to implement or improve thei…

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Title Statements

Full title :Data clustering in C++ : an object-oriented approach / Guojun Gan.

Summary

Edition Statements

Publication Date:2011.
Edition:1st edition

Publication Statements

Publisher(s):Chapman and Hall/CRC
Place of Publication:Boca Raton, Fla
Language:eng
Publication Date:2011.

Notes

A Chapman & Hall book.

The Physical Object

Description:1 online resource (512 p.).

Edition Identifiers

ISBN:0429109784, 9780429109782, 1439862249, 9781439862247
DOI:10.1201/b10814
oclc:on1300550034
LC Classification:QA278
Dewey Decimal:519.5/3

Front Cover; Dedication; Contents; List of Figures; List of Tables; Preface; I. Data Clustering and C++ Preliminaries; 1. Introduction to Data Clustering; 2. The Unified Modeling Language; 3. Object-Oriented Programming and C++; 4. DesignPatterns; 5. C++ Libraries and Tools; II. A C++ Data Clustering Framework; 6. The Clustering Library; 7. Datasets; 8. Clusters; 9. Dissimilarity Measures; 10. Clustering Algorithms; 11. Utility Classes; III. Data Clustering Algorithms; 12. Agglomerative Hierarchical Algorithms; 13. DIANA; 14. The k-means Algorithm; 15. The c-means Algorithm

16. The k-prototypes Algorithm17. The Genetic k-modes Algorithm; 18. The FSC Algorithm; 19. The Gaussian Mixture Algorithm; 20. A Parallel k-means Algorithm; A. Exercises and Projects; B. Listings; C. Software; Bibliography

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