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



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Autore: Gan Guojun <1979, > Visualizza persona
Titolo: Data clustering in C++ : an object-oriented approach / / Guojun Gan Visualizza cluster
Pubblicazione: Boca Raton, Fla. : , : Chapman and Hall/CRC, , 2011
Edizione: 1st edition
Descrizione fisica: 1 online resource (512 p.)
Disciplina: 519.5/3
Soggetto topico: Cluster analysis - Data processing
C++ (Computer program language)
Soggetto genere / forma: Electronic books.
Note generali: A Chapman & Hall book.
Nota di bibliografia: Includes bibliographical references (p. 469-486) and indexes.
Nota di contenuto: 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
Sommario/riassunto: 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 their data clustering algorithms. Using object-oriented design and programming techniques, Data Clusterin
Titolo autorizzato: Data clustering in C++  Visualizza cluster
ISBN: 0-429-10978-4
1-4398-6224-9
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910457785103321
Lo trovi qui: Univ. Federico II
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Serie: Chapman & Hall/CRC data mining and knowledge discovery series.