03416oam 2200673I 450 991045778510332120200520144314.00-429-10978-41-4398-6224-910.1201/b10814 (CKB)2550000000065024(EBL)800964(OCoLC)740901290(SSID)ssj0000514886(PQKBManifestationID)11358557(PQKBTitleCode)TC0000514886(PQKBWorkID)10523683(PQKB)11553678(MiAaPQ)EBC800964(CaSebORM)9781439862247(PPN)171290550(Au-PeEL)EBL800964(CaPaEBR)ebr10511315(CaONFJC)MIL692626(OCoLC)759865957(EXLCZ)99255000000006502420180331d2011 uy 0engur|n|---|||||txtccrData clustering in C++ an object-oriented approach /Guojun Gan1st editionBoca Raton, Fla. :Chapman and Hall/CRC,2011.1 online resource (512 p.)Chapman & Hall/CRC data mining and knowledge discovery seriesA Chapman & Hall book.1-322-61344-3 1-4398-6223-0 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)Electronic books.Cluster analysisData processing.C++ (Computer program language)519.5/3Gan Guojun1979,923360MiAaPQMiAaPQMiAaPQBOOK9910457785103321Data clustering in C++2072181UNINA01774nam0 22003371i 450 UON0039926720231205104648.86383-601-0906-020111031d2006 |0itac50 baengPL|||| |||||Archaeology of early Northeastern Africain memory of Lech Krzyzaniakedited by Karla Kroeper, Marek Chlodnicki. Michal KobusiewiczPoznan : Archaeological Museum2006xxx1061 p.ill. ; 25 cmProceedings of the International Symposium organized by the Poznan Archaeological Museum, Institute of Archaeology and Ethnology Polish Academy of Science, Poznan Branch and the International Commission of the Later Prehistory of Northeastern Africa held at the Poznan Archaeological Museum, Poznan Poland, juli 14th-18th 2003001UON000672782001 Studies in African ArchaeologySeries editorPaul J.J. Sinclair9ArcheologiaAfrica settentrionaleUONC022163FIPLPoznańUONL001719939.7STORIA DEL NORDAFRICA - fino al 640 ca21CHLODNICKIMarekUONV082292KOBUSIEWICZMichalUONV205034KROEPERKarlaUONV052310ARCHAEOLOGICAL MUSEUMPoznanUONV205033706665Poznan Archaeological MuseumUONV258787650ITSOL20250411RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00399267SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI ARCH 245 SI AA 30866 7 245 Archaeology of early Northeastern Africa1346987UNIOR