Advances in K-means Clustering A Data Mining Thinking /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας:	Wu, Junjie (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:	Springer Theses, Recognizing Outstanding Ph.D. Research,
Θέματα:	Computer science. Information technology. Business > Data processing. Database management. Data mining. Statistics. Computer Science. Data Mining and Knowledge Discovery. Statistics for Business/Economics/Mathematical Finance/Insurance. IT in Business. Database Management.
Διαθέσιμο Online:	Full Text via HEAL-Link

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