An Overview of Some Data Mining Clustering Techniques
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Abstract
Data mining clustering techniques are importance and used widely nowadays. Artificial intelligence, pattern recognition, economics, ecology, psychiatry and marketing are some common clustering. Several algorithms and methods have been developed in the recent year to solve clustering problem. But improving accuracy and efficiency are to issue are always arises for finding a new algorithm and process for extracting knowledge for. These issues motivated us to develop new algorithm and process for clustering problems. Clustering can be used to partition data set into a number of “interesting†clusters. Cluster analysis is applied to the data set and the resulting clusters are characterized by the features of the patterns that belong to these clusters. In this paper we presented a study of some data mining clustering techniques
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