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Gives an overall picture on how to adapt K-means to the clustering of newly emerging big data
Establishes a theoretical framework for K-means clustering and cluster validity
Studies the dangerous uniform effect and zero-value dilemma of K-means
Demonstrates the novel use of K-means for rare class analysis and consensus clustering
Based on the thesis that won the 2010 National Excellent Doctoral Dissertation Award of China
Includes supplementary material: [...]
Erscheinungsjahr: | 2014 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Springer Theses |
Inhalt: |
xvi
180 S. |
ISBN-13: | 9783642447570 |
ISBN-10: | 3642447570 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Wu, Junjie |
Hersteller: |
Springer-Verlag GmbH
Springer Berlin Heidelberg Springer Theses |
Maße: | 235 x 155 x 11 mm |
Von/Mit: | Junjie Wu |
Erscheinungsdatum: | 09.08.2014 |
Gewicht: | 0,306 kg |
Gives an overall picture on how to adapt K-means to the clustering of newly emerging big data
Establishes a theoretical framework for K-means clustering and cluster validity
Studies the dangerous uniform effect and zero-value dilemma of K-means
Demonstrates the novel use of K-means for rare class analysis and consensus clustering
Based on the thesis that won the 2010 National Excellent Doctoral Dissertation Award of China
Includes supplementary material: [...]
Erscheinungsjahr: | 2014 |
---|---|
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Reihe: | Springer Theses |
Inhalt: |
xvi
180 S. |
ISBN-13: | 9783642447570 |
ISBN-10: | 3642447570 |
Sprache: | Englisch |
Ausstattung / Beilage: | Paperback |
Einband: | Kartoniert / Broschiert |
Autor: | Wu, Junjie |
Hersteller: |
Springer-Verlag GmbH
Springer Berlin Heidelberg Springer Theses |
Maße: | 235 x 155 x 11 mm |
Von/Mit: | Junjie Wu |
Erscheinungsdatum: | 09.08.2014 |
Gewicht: | 0,306 kg |