一种基于模糊C均值的新分类算法

A New Classification Algorithm Based on Fuzzy C-Means

以两种初始化类中心的选择算法为基础,对传统聚类算法模糊C均值算法进行改进,提出一种基于模糊C均值的新分类算法NFCM,解决了数据分类问题,并采用UCI上的标准数据集中多个常用数据集进行实验测试,实验结果表明,对于UCI上标准数据集的常用数据具有较好的分类结果.

Two methods for initialization of cluster centers were presented, one is supervised method ; the ether is the method based on kNN partition. An improved algorithm based on fuzzy C-means, a traditional clustering algorithm was finished, which was used to complete the data classification first. And several standard datasets from UCI were tested, which shows a well classification result is found.