关键词: 模糊C均值聚类, Tabu搜索, 树型编码, 模式识别；

Abstract: The fuzzy C-means clustering algorithm was described and remarked. On the basis of systematic analysis of current algorithms, tabu search was introduced into fuzzy clustering to solve the locality and the sensitiveness of the initial condition of fuzzy C-means clustering. A tree encoding scheme proper for the fuzzyclustering algorithm was determined. The design method and steps of the new algorithm were provided.

Key words: fuzzy C-means clustering, Tabu search, tree coding, pattern recognition