{"product_id":"clustering-methodology-for-symbolic-data-lynne-billard-9780470713938","title":"Clustering Methodology for Symbolic Data","description":"\u003cp\u003e\u003cb\u003eCovers 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\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThis 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.\u003c\/p\u003e \u003cp\u003eFilled with examples, tables, figures, and case studies, \u003ci\u003eClustering Methodology for Symbolic Data\u003c\/i\u003e begins by offering chapters on data management, distance measures, general clustering techniques, partitioning, divisive clustering, and agglomerative and pyramid clustering. \u003c\/p\u003e \u003cul\u003e \u003cli\u003eProvides new classification methodologies for histogram valued data reaching across many fields in data science\u003c\/li\u003e \u003cli\u003eDemonstrates how to manage a large complex dataset into manageable datasets ready for analysis\u003c\/li\u003e \u003cli\u003eFeatures very large contemporary datasets such as multi-valued list data, interval-valued data, and histogram-valued data\u003c\/li\u003e \u003cli\u003eConsiders classification models by dynamical clustering\u003c\/li\u003e \u003cli\u003eFeatures a supporting website hosting relevant data sets \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eClustering Methodology for Symbolic Data\u003c\/i\u003e will appeal to practitioners of symbolic data analysis, such as statisticians and economists within the public sectors. It will also be of interest to postgraduate students of, and researchers within, web mining, text mining and bioengineering.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Lynne Billard, Edwin Diday\u003cbr\u003e\u003cb\u003eISBN-10:\u003c\/b\u003e 0470713933\u003cbr\u003e\u003cb\u003eISBN-13:\u003c\/b\u003e 9780470713938\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Wiley\u003cbr\u003e\u003cb\u003eLanguage:\u003c\/b\u003e English\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 10\/28\/2019\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 352\u003cbr\u003e\u003cb\u003eFormat:\u003c\/b\u003e Hardcover\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.35lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.10h x 6.10w x 0.90d","brand":"Lynne Billard","offers":[{"title":"Hardcover","offer_id":44311023190271,"sku":"9780470713938","price":96.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0662\/2982\/9887\/files\/img_f29cd222-6aa6-4a57-b8d6-a24493e649fe.jpg?v=1695720686","url":"https:\/\/www.whiterainbookhouse.com\/products\/clustering-methodology-for-symbolic-data-lynne-billard-9780470713938","provider":"WR Book House","version":"1.0","type":"link"}