03671oam 2200769I 450 991081715980332120200520144314.0978042910978204291097849781439862247143986224910.1201/b10814 (CKB)2550000000065024(EBL)800964(OCoLC)740901290(SSID)ssj0000514886(PQKBManifestationID)11358557(PQKBTitleCode)TC0000514886(PQKBWorkID)10523683(PQKB)11553678(Au-PeEL)EBL800964(CaPaEBR)ebr10511315(CaONFJC)MIL692626(OCoLC)759865957(CaSebORM)9781439862247(MiAaPQ)EBC800964(PPN)171290550(OCoLC)861618525(OCoLC)ocn861618525(OCoLC)892786087(FINmELB)ELB155173(EXLCZ)99255000000006502420180331d2011 uy 0engur|n|---|||||txtccrData clustering in C++ an object-oriented approach /Guojun Gan1st editionBoca Raton CRC Press2011Boca Raton, Fla. :Chapman and Hall/CRC,2011.1 online resource (512 p.)Chapman & Hall/CRC data mining and knowledge discovery seriesA Chapman & Hall book.9781322613444 1322613443 9781439862230 1439862230 Includes bibliographical references (p. 469-486) and indexes.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 Algorithm16. 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; BibliographyData 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 ClusterinChapman & Hall/CRC data mining and knowledge discovery series.Cluster analysisData processingC++ (Computer program language)Cluster analysisData processing.C++ (Computer program language)519.5/3Gan Guojun1979,1667026MiAaPQMiAaPQMiAaPQBOOK9910817159803321Data clustering in C++4026619UNINA