现货Clustering Methodology for Symbolic Data (Wiley Computational Statistics)[9780470713938]

887 九五品

库存5件

上海宝山

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作者Billard, Lynne ; Diday, Edwin

出版社Wiley

ISBN9780470713938

出版时间2019-10

装帧精装

纸张其他

页数352页

正文语种英语

上书时间2023-04-18

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商品描述: Covers everything readers need to know about clustering methodology for symbolic data--including new methods and headings--while providing a focus on multi-valued list data, interval data and histogram data This book presents all of the latest developments in the field of clustering methodology for symbolic data--paying special attention to the classification methodology for multi-valued list, interval-valued and histogram-valued data methodology, along with numerous worked examples. The book also offers an expansive discussion of data management techniques showing how to manage the large complex dataset into more manageable datasets ready for analyses. Filled with examples, tables, figures, and case studies, Clustering Methodology for Symbolic Data begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. Provides new classification methodologies for histogr