Stock image for illustration purposes only - book cover, edition or condition may vary.
Cluster Analysis for Data Mining and System Identification
Abonyi, Janos; Feil, Balazs
€ 130.34
FREE Delivery in Ireland
Description for Cluster Analysis for Data Mining and System Identification
Hardback. Illustrates that advanced fuzzy clustering algorithms can be used not only for partitioning of the data. This title is suitable for visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems. Num Pages: 324 pages, 11 black & white tables, biography. BIC Classification: UNC. Category: (P) Professional & Vocational. Dimension: 297 x 210 x 19. Weight in Grams: 636.
Dataclusteringisacommontechniqueforstatisticaldataanalysis,whichisusedin many ?elds, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classi?cation of similar objects into di?erent groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait – often proximity according to some de?ned distance measure. The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data, but it can be used for visuali- tion,regression,classi?cationandtime-seriesanalysis,hence fuzzy cluster analysis is a good approach to solve complex data mining ... Read more
Dataclusteringisacommontechniqueforstatisticaldataanalysis,whichisusedin many ?elds, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classi?cation of similar objects into di?erent groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait – often proximity according to some de?ned distance measure. The aim of this book is to illustrate that advanced fuzzy clustering algorithms can be used not only for partitioning of the data, but it can be used for visuali- tion,regression,classi?cationandtime-seriesanalysis,hence fuzzy cluster analysis is a good approach to solve complex data mining ... Read more
Product Details
Format
Hardback
Publication date
2007
Publisher
Birkhauser Verlag AG Switzerland
Number of pages
324
Condition
New
Number of Pages
306
Place of Publication
Basel, Switzerland
ISBN
9783764379872
SKU
V9783764379872
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Cluster Analysis for Data Mining and System Identification