Data Clustering : Algorithms and Applications.

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Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, fr...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Aggarwal, Charu C.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : CRC Press, 2013.
Colección:Chapman & Hall/CRC data mining and knowledge discovery series.
Temas:
Document clustering.
Cluster analysis.
Data mining.
Machine theory.
File organization (Computer science)
Data Mining
Cluster Analysis
Regroupement des documents (Informatique)
Classification automatique (Statistique)
Exploration de données (Informatique)
Théorie des automates.
Fichiers (Informatique) > Organisation.
COMPUTERS > General.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Cluster analysis
Data mining
Document clustering
Machine theory
Acceso en línea:Texto completo
Descripción
Sumario:Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. Addressing this problem in a unified way, Data Clustering: Algorithms and Applications provides complete coverage of the entire area of clustering, from basic methods to more refined and complex data clustering approaches. It pays special attention to recent issues in graphs, social networks, and other domains. The book focuses on three primary aspects of data clustering: Methods, describing key techniques commonly used for clustering, such as fea.
Descripción Física:1 online resource (648 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781466558229
1466558229

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