一种模糊聚类系统的设计与实现

介绍一种基于模糊逻辑的数据聚类技术,讨论了模糊C均值聚类方法。模糊C均值算法就是利用模糊逻辑理论和聚类思想,将n样本划分到c个类别中的一个,使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。

A Fuzzy Clustering System Design and Implementation

This paper introduces a technology of data clustering based on fuzzy logic, and then the fuzzy c-means clustering method is discussed. Fuzzy c-means algorithm is to make use of fuzzy logic theory and clustering thought, letting nth sample partitioned into one of the c classes; it makes the most similarity among the objects that partitioned into the same cluster, the least similarity among the different clusters.