Advances in K-means Clustering A Data Mining Thinking /

• 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.

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...

Πίνακας περιεχομένων:

• Cluster Analysis and K-means Clustering: An Introduction
• The Uniform Effect of K-means Clustering
• Generalizing Distance Functions for Fuzzy c-Means Clustering
• Information-Theoretic K-means for Text Clustering
• Selecting External Validation Measures for K-means Clustering
• K-means Based Local Decomposition for Rare Class Analysis
• K-means Based Consensus Clustering.