Cluster Analysis for Data Mining and System Identification, Abonyi János, Feil Balázs
Àâòîð: Mirkin, Boris Íàçâàíèå: Clustering for Data Mining ISBN: 1584885343 ISBN-13(EAN): 9781584885344 Èçäàòåëüñòâî: Taylor&Francis Ðåéòèíã: Öåíà: 61240.00 T Íàëè÷èå íà ñêëàäå: Ïîñòàâêà ïîä çàêàç. Îïèñàíèå: Presents a theory that not only closes gaps in K-Means and Ward methods, but also extends them into areas of interest, such as clustering mixed scale data and incomplete clustering. This work suggests methods for both cluster finding and cluster description, and includes nearly 60 computational examples covering the various stages of clustering.
Àâòîð: Guojun Gan Íàçâàíèå: Data Clustering: Theory, Algorithms, and Applications ISBN: 0898716233 ISBN-13(EAN): 9780898716238 Èçäàòåëüñòâî: Mare Nostrum (Eurospan) Ðåéòèíã: Öåíà: 112860.00 T Íàëè÷èå íà ñêëàäå: Íåâîçìîæíà ïîñòàâêà. Îïèñàíèå: 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, centre-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. Suitable as a textbook for an introductory course in cluster analysis or as source material for a graduate-level introduction to data mining.
