Advances in K-means Clustering A Data Mining Thinking /

• Main Author: Wu, Junjie (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
• Series: Springer Theses, Recognizing Outstanding Ph.D. Research,
• Subjects: 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.

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...