Cluster Analysis for Data Mining and System Identification
Hardback or Cased Book 306 pages Jun 22, 2007
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Birkhauser
Cluster Analysis for Data Mining and System Identification
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This book identifies fuzzy cluster analysis as a good approach to solving complex data mining and system identification problems. It illustrates how advanced fuzzy clustering algorithms can be used not only for partitioning of the data, but it can be used for visualization, regression, classification and time-series analysis. Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different 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 defined distance measure.
- Author:
- János Abonyi
- Publisher:
- Birkhauser
- Publication Date:
- Jun 22, 2007
- Number of pages:
- 306 pages
- Binding:
- Hardback or Cased Book
- ISBN-10:
- 3764379871
- ISBN-13:
- 9783764379872