Abstract:

A clustering algorithm based on Feature Point Selection in Data Mining (abbreviated CFPS) is put forward in this paper. This method can overcome the disadvantage of a algorithm  which requires the number of clusters for numerical incoming data. The CFPS algorithm finds the optimal number of clusters, andgreatly improves the precision and efficiency of clustering. The results of experiments prove that  using the algorithm for the numerical data clustering method is feasible, which is valuable for further study in more depth.

Key words: clustering; k means; data mining