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    Data Clustering in C++
    • Data Clustering in C++

    • By: Guojun Gan

    • Publisher: Chapman and Hall/CRC

    • Pub. Date: March 28, 2011

    • Print ISBN-13: 978-1-4398-6223-0

    • Print ISBN-10: 1-4398-6223-0

    • Web ISBN-13: 978-1-4398-6224-7

    • Web ISBN-10: 0-429-10978-4

    • Print ISBN-13: 978-0-367-38295-7

    • Part Number: KE80219

    • Web ISBN-13: 978-0-429-10978-2

    • Print ISBN-10: 0-367-38295-4

    • Pages in Print Edition: 520

    • Subscriber Rating: 0 out of 5 rating0 [0 Ratings]

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    Overview

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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,

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    Top Level Categories:
    Information Technology & Software Development
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    Sub-Categories:
    Information Technology & Software Development > Programming
    Programming > C++
    Product > C++

    Table of Contents

     

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    Front Cover

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    Dedication

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    Contents

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    List of Figures

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    List of Tables

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    Preface

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    I. Data Clustering and C++ Preliminaries
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    1. Introduction to Data Clustering

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    2. The Unified Modeling Language

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    3. Object-Oriented Programming and C++

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    4. DesignPatterns

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    5. C++ Libraries and Tools

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    II. A C++ Data Clustering Framework
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    6. The Clustering Library

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    7. Datasets

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    8. Clusters

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    9. Dissimilarity Measures

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    10. Clustering Algorithms

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    11. Utility Classes

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    III. Data Clustering Algorithms
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    12. Agglomerative Hierarchical Algorithms

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    13. DIANA

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    14. The k-means Algorithm

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    15. The c-means Algorithm

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    16. The k-prototypes Algorithm

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    17. The Genetic k-modes Algorithm

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    18. The FSC Algorithm

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    19. The Gaussian Mixture Algorithm

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    20. A Parallel k-means Algorithm

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    A. Exercises and Projects

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    B. Listings

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    C. Software

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    Bibliography