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Více informací o knize Data Clustering: Theory, Algorithms, and Applications

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Databases Data capture & analysis

• Plný název: Data Clustering: Theory, Algorithms, and Applications
• Autor: Guojun GanChaoqun MaJianhong Wu
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 488
• EAN: 9780898716238
• ISBN: 0898716233
• ID: 02050196
• Nakladatelství: Society for Industrial & Applied Mathematics,U.S.
• Hmotnost: 83 g
• Rozměry: 229 × 152 × 26 mm
• Datum vydání: 30. May 2007

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