Refine your search
Collections
Co-Authors
Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Charulatha, B. S.
- Fuzzy Clustering Algorithms-Different Methodologies and Parameters-A Survey
Abstract Views :162 |
PDF Views:1
Authors
Affiliations
1 Department of IT, Jawahar Engineering College, IN
2 Velammal Engineering College, IN
3 Department of CSE, Pondicherry University, IN
1 Department of IT, Jawahar Engineering College, IN
2 Velammal Engineering College, IN
3 Department of CSE, Pondicherry University, IN
Source
Data Mining and Knowledge Engineering, Vol 2, No 12 (2010), Pagination:Abstract
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.