文章基本信息

标题：A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm
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作者：Dibya Jyoti Bora ; Dr. Anil Kumar Gupta
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：10
期号：2
页码：108-113
DOI：10.14445/22312803/IJCTT-V10P119
出版社：Seventh Sense Research Group
摘要：Data clustering is an important area of data mining. This is an unsupervised study where data of similar types are put into one cluster while data of another types are put into different cluster. Fuzzy C means is a very important clustering technique based on fuzzy logic. Also we have some hard clustering techniques available like Kmeans among the popular ones. In this paper a comparative study is done between Fuzzy clustering algorithm and hard clustering algorithm.
关键词：Clustering; FCM; K-Means; Matlab.