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      • [PDF] Data Clustering: Theory, Algorithms, and Applications Free Download by Chaoqun Ma , Guojun Gan , Jianhong Wu | Publisher : SIAM | Category : Computers & Internet | Tags : Algorithms, Search, Marketing, Data Mining, Visualization, Matlab | ISBN-10 : 0898716233 | ISBN-13 : 9780898716238
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      • Data Clustering: Theory, Algorithms, and Applications by Chaoqun Ma , Guojun Gan , Jianhong Wu, Publisher : SIAM
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      • Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, center-based, and search-based methods. As a result, readers and users can easily identify an appropriate algorithm for their applications and compare novel ideas with existing results. The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Readers also learn how to perform cluster analysis with the C/C++ and MATLABÂ programming languages. Audience The following groups will find this book a valuable tool and reference: applied statisticians; engineers and scientists using data analysis; researchers in pattern recognition, artificial intelligence, machine learning, and data mining; and applied mathematicians. Instructors can also use it as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining. Contents Preface

        Table of Contents

        Part I Clustering, Data, and Similarity Measures
        Chapter 1 Data Clustering
        Chapter 2 Data Types
        Chapter 3 Scale Conversion
        Chapter 4 Data Standardization and Transformation
        Chapter 5 Data Visualization
        Chapter 6 Similarity and Dissimilarity Measures

        Part II Clustering Algorithms
        Chapter 7 Hierarchical Clustering Techniques
        Chapter 8 Fuzzy Clustering Algorithms
        Chapter 9 Center-based Clustering Algorithms
        Chapter 10 Search-based Clustering Algorithms
        Chapter 11 Graph-based Clustering Algorithms
        Chapter 12 Grid-based Clustering Algorithms
        Chapter 13 Density-based Clustering Algorithms
        Chapter 14 Model-based Clustering Algorithms
        Chapter 15 Subspace Clustering
        Chapter 16 Miscellaneous Algorithms
        Chapter 17 Evaluation of Clustering Algorithms

        Part III Applications of Clustering
        Chapter 18 Clustering Gene Expression Data

        Part IV MATLAB and C++ for Clustering
        Chapter 19 Data Clustering in MATLAB
        Chapter 20 Clustering in C/C++

        Appendix A Some Clustering Algorithms
        Appendix B The kd-tree Data Structure
        Appendix C MATLAB Codes
        Appendix D C++ Codes

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    • Book Details
      • Book Name : Data Clustering: Theory, Algorithms, and Applications

        Edition : 1

        Author : Chaoqun Ma , Guojun Gan , Jianhong Wu

        Publisher : SIAM

        Category : Computers & Internet

        ISBN-10 : 0898716233

        ISBN-13 : 9780898716238

        ASIN : 0898716233

        Pages : 466

        Language : English

        Publish Date : May 30, 2007
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