Dedication Preface List of Tables List of Figures I Data Clustering and C++ Preliminaries Introduction to Data Clustering Data Clustering Data Types Dissimilarity and SimilarityMeasures Hierarchical Clustering Algorithms Partitional Clustering Algorithms Cluster Validity Clustering Applications Literature of Clustering Algorithms Summary The Unified Modeling Language PackageDiagrams Class Diagrams Use Case Diagrams Activity Diagrams Notes Summary Object-Oriented Programming and C++ Object-Oriented Programming The C++ Programming Language Encapsulation Inheritance Polymorphism Exception Handling Summary Design Patterns Singleton Composite Prototype Strategy TemplateMethod Visitor Summary C++ Libraries and Tools The Standard Template Library Boost C++ Libraries GNU Build System Cygwin Summary II A C++ Data Clustering Framework The Clustering Library Directory Structure and Filenames Specification Files Macros and typedef Declarations Error Handling Unit Testing Compilation and Installation Summary Datasets Attributes Records Datasets A Dataset Example Summary Clusters Clusters Partitional Clustering Hierarchical Clustering Summary Dissimilarity Measures The Distance Base Class Minkowski Distance Euclidean Distance SimpleMatching Distance Mixed Distance Mahalanobis Distance Summary Clustering Algorithms Arguments Results Algorithms A Dummy Clustering Algorithm Summary Utility Classes The Container Class The Double-keyMap Class The Dataset Adapters The Node Visitors The Dendrogram Class The DendrogramVisitor Summary III Data Clustering Algorithms Agglomerative Hierarchical Algorithms Description of the Algorithm Implementation Examples Summary DIANA Description of the Algorithm Implementation Examples Summary The k-means Algorithm Description of the Algorithm Implementation Examples Summary The c-means Algorithm Description of the Algorithm Implementaion Examples Summary The k-prototypes Algorithm Description of the Algorithm Implementation Examples Summary The Genetic k-modes Algorithm Description of the Algorithm Implementation Examples Summary The FSC Algorithm Description of the Algorithm Implementation Examples Summary The Gaussian Mixture Algorithm Description of the Algorithm Implementation Examples Summary A Parallel k-means Algorithm Message Passing Interface Description of the Algorithm Implementation Examples Summary A Exercises and Projects B Listings C Software Bibliography Author Index Subject Index rategy TemplateMethod Visitor Summary C++ Libraries and Tools The Standard Template Library Boost C++ Libraries GNU Build System Cygwin Summary II A C++ Data Clustering Framework The Clustering Library Directory Structure and Filenames Specification Files Macros and typedef Declarations Error Handling Unit Testing Compilation and Installation Summary Datasets Attributes Records Datasets A Dataset Example Summary Clusters Clusters Partitional Clustering Hierarchical Clustering Summary Dissimilarity Measures The Distance Base Class Minkowski Distance Euclidean Distance SimpleMatching Distance Mixed Distance Mahalanobis Distance Summary Clustering Algorithms Arguments Results Algorithms A Dummy Clustering Algorithm Summary Utility Classes The Container Class The Double-keyMap Class The Dataset Adapters The Node Visitors The Dendrogram Class The DendrogramVisitor Summary III Data Clustering Algorithms Agglomerative Hierarchical Algorithms Description of the Algorithm Implementation Examples Summary DIANA Description of the Algorithm Implementation Examples Summary The k-means Algorithm Description of the Algorithm Implementation Examples Summary The c-means Algorithm Description of the Algorithm Implementaion Examples Summary The k-prototypes Algorithm Description of the Algorithm Implementation Examples Summary The Genetic k-modes Algorithm Description of the Algorithm Implementation Examples Summary The FSC Algorithm Description of the Algorithm Implementation Examples Summary The Gaussian Mixture Algorithm Description of the Algorithm Implementation Examples Summary A Parallel k-means Algorithm Message Passing Interface Description of the Algorithm Implementation Examples Summary A Exercises and Projects B Listings C Software Bibliography Author Index Subject Index e Distance Base Class Minkowski Distance Euclidean Distance SimpleMatching Distance Mixed Distance Mahalanobis Distance Summary Clustering Algorithms Arguments Results Algorithms A Dummy Clustering Algorithm Summary Utility Classes The Container Class The Double-keyMap Class The Dataset Adapters The Node Visitors The Dendrogram Class The DendrogramVisitor Summary III Data Clustering Algorithms Agglomerative Hierarchical Algorithms Description of the Algorithm Implementation Examples Summary DIANA Description of the Algorithm Implementation Examples Summary The k-means Algorithm Description of the Algorithm Implementation Examples Summary The c-means Algorithm Description of the Algorithm Implementaion Examples Summary The k-prototypes Algorithm Description of the Algorithm Implementation Examples Summary The Genetic k-modes Algorithm Description of the Algorithm Implementation Examples Summary The FSC Algorithm Description of the Algorithm Implementation Examples Summary The Gaussian Mixture Algorithm Description of the Algorithm Implementation Examples Summary A Parallel k-means Algorithm Message Passing Interface Description of the Algorithm Implementation Examples Summary A Exercises and Projects B Listings C Software Bibliography Author Index Subject Index p;lt;BR>Summary The k-means Algorithm Description of the Algorithm Implementation Examples Summary The c-means Algorithm Description of the Algorithm Implementaion Examples Summary The k-prototypes Algorithm Description of the Algorithm Implementation Examples Summary The Genetic k-modes Algorithm Description of the Algorithm Implementation Examples Summary The FSC Algorithm Description of the Algorithm Implementation Examples Summary The Gaussian Mixture Algorithm Description of the Algorithm Implementation Examples Summary A Parallel k-means Algorithm Message Passing Interface Description of the Algorithm Implementation Examples Summary A Exercises and Projects B Listings C Software Bibliography Author Index Subject Index allel k-means Algorithm Message Passing Interface Description of the Algorithm Implementation Examples Summary A Exercises and Projects B Listings C Software Bibliography Author Index Subject Index.