Cluster Analysis for Data Mining and system identification

时间:2013-01-25 15:19:26
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文件名称:Cluster Analysis for Data Mining and system identification

文件大小:6.55MB

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更新时间:2013-01-25 15:19:26

fuzzy clustering

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. 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 visualization, regression, classification and time-series analysis, hence fuzzy cluster analysis is a good approach to solve complex data mining and system identification problems.


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  • 与其说是用于数据挖掘的聚类分析,不如说是模糊聚类在数据挖掘中的应用 总的说来,还是在图像处理中有一点用处,值4颗星