A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm

作者：Dibya Jyoti Bora, Anil Kumar Gupta · 发表于：International Journal of Computer Trends and Technology · 年份：2014 · DOI：10.14445/22312803/ijctt-v10p119 · 被引用次数：159 · 研究领域：Advanced Clustering Algorithms Research、Data Stream Mining Techniques、Face and Expression Recognition

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 K-means among the popular ones. In this paper a comparative study is done between Fuzzy clustering algorithm and hard clustering algorithm