Fuzzy Clustering Algorithms - Different Methodologies and Parameters - A Survey
B. S. Charulatha, Paul Rodrigues, T. Chitralekha · CiiT international journal of data mining and knowledge engineering · 2010
Fuzzy clustering algorithms are helpful when there exists a dataset with sub groupings of points having indistinct boundaries and overlap between the clusters. This paper gives an overview of different classical fuzzy clustering algorithm. The fuzzy clustering algorithms can be categorized as classical fuzzy clustering and shape based clustering. The paper describes about the general working behavior, the methodologies followed on these approaches and the parameters which affects the performance of classical fuzzy clustering algorithms.