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Clustering

Autor Rui Xu, Don Wunsch
en Limba Engleză Hardback – 24 oct 2008
The only thorough, comprehensive book available on clustering From two of the best-known experts in the field comes the first book to take a truly comprehensive look at clustering. The book begins with a complete introduction to cluster analysis in which readers will become familiarized with classification and clustering; definition of clusters; clustering applications; and the literature of clustering algorithms. The authors then present a detailed outline of the book's content and go on to explore: * Proximity measures * Hierarchical clustering * Partition clustering * Neural network-based clustering * Kernel-based clustering * Sequential data clustering * Large-scale data clustering * Data visualization and high-dimensional data clustering * Cluster validation The authors assume no previous background in clustering and their generous inclusion of examples and references help make the subject matter comprehensible for readers of varying levels and backgrounds. The book is intended as a professional reference for computer scientists and applied mathematicians working with data-intensive applications, and for computational intelligence researchers who use clustering for feature selection or data reduction. Its selection of homework exercises also makes it appropriate as a textbook for graduate students in mathematics, science, and engineering.
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Specificații

ISBN-13: 9780470276808
ISBN-10: 0470276800
Pagini: 368
Dimensiuni: 161 x 240 x 24 mm
Greutate: 0.72 kg
Editura: Wiley
Locul publicării:Hoboken, United States

Public țintă

Computer scientists and applied mathematicians, computational intelligence researchers and graduate students

Descriere

Written by two of the best-known experts in the field, Clustering is the only thoroughly comprehensive text on the subject currently available. The book looks at the full range of clustering and provides enough detail to allow users to select the method that best fits their application.