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Miyamoto, Sadaaki; Ichihashi, Hidetomo; Honda, Katsuhiro - Algorithms for Fuzzy Clustering - 9783540787365 - V9783540787365
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Algorithms for Fuzzy Clustering

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Description for Algorithms for Fuzzy Clustering Hardback. The main subject of this book is the fuzzy c-means proposed by Dunn and Bezdek and their variations including recent studies. The book uncovers theoretical and methodological differences between the Dunn and Bezdek method and the entropy-based method. Series: Studies in Fuzziness and Soft Computing. Num Pages: 247 pages, 23 black & white tables, biography. BIC Classification: UMB. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 542.
Recently many researchers are working on cluster analysis as a main tool for exploratory data analysis and data mining. A notable feature is that specialists in di?erent ?elds of sciences are considering the tool of data clustering to be useful. A major reason is that clustering algorithms and software are ?exible in thesensethatdi?erentmathematicalframeworksareemployedinthealgorithms and a user can select a suitable method according to his application. Moreover clusteringalgorithmshavedi?erentoutputsrangingfromtheolddendrogramsof agglomerativeclustering to more recent self-organizingmaps. Thus, a researcher or user can choose an appropriate output suited to his purpose,which is another ?exibility of the methods of clustering. An old and still most popular ... Read more

Product Details

Format
Hardback
Publication date
2008
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
247
Condition
New
Series
Studies in Fuzziness and Soft Computing
Number of Pages
247
Place of Publication
Berlin, Germany
ISBN
9783540787365
SKU
V9783540787365
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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