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Advances in K-means Clustering A Data Mining Thinking /

Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely complicated characteristics bring new challenges to this "old" algorithm. This book addresses these challenges and makes novel contributions in establis...

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Bibliographic Details
Call Number:	Libro Electrónico
Main Author:	Wu, Junjie (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	Inglés
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edition:	1st ed. 2012.
Series:	Springer Theses, Recognizing Outstanding Ph.D. Research,
Subjects:	Data mining. Statistics . Business information services. Database management. Data Mining and Knowledge Discovery. Statistics in Business, Management, Economics, Finance, Insurance. IT in Business. Database Management.
Online Access:	Texto Completo

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