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Data clustering: theory, algorithms, and applications

Guojun Gan, Chaoqun Ma, Jianhong Wu (Society for Industrial and Applied Mathematics, 2007)

 Abstrak

Cluster analysis is an unsupervised process that divides a set of objects into homogeneous groups. This book starts with basic information on cluster analysis, including the classification of data and the corresponding similarity measures, followed by the presentation of over 50 clustering algorithms in groups according to some specific baseline methodologies such as hierarchical, center-based, and search-based methods. As a result, readers and users can easily identify an appropriate algorithm for their applications and compare novel ideas with existing results.
The book also provides examples of clustering applications to illustrate the advantages and shortcomings of different clustering architectures and algorithms. Application areas include pattern recognition, artificial intelligence, information technology, image processing, biology, psychology, and marketing. Readers also learn how to perform cluster analysis with the C/C++ and MATLAB programming languages.

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 Metadata

Jenis Koleksi : eBooks
No. Panggil : e20448780
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Philadelphia: Society for Industrial and Applied Mathematics, 2007
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xxii, 466 pages : illustration
Tautan: http://portal.igpublish.com/iglibrary/search/SIAMB0000335.main.html?18
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No. Panggil No. Barkod Ketersediaan
e20448780 02-17-406438866 TERSEDIA
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