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- W100417087 abstract "Clustering is the process of partitioning or grouping a given set of patterns into disjoint clusters. This is done such that patterns in the same cluster are alike and patterns belonging to two dierent clusters are dierent. . Clustering Process can be divided into two parts Cluster formation Cluster validationThe most trivial K-means algorithm is rst implemented on the data set obtained from UCI machine repository. The comparison is extended to Fuzzy C-means algorithm where each data is a member of every cluster but with a certain degree known as membership value. Finally, to obtain the optimal value of K Genetic K-means algorithm in implemented in which GA nds the value of K as generation evolves.Theecieny of the three algorithms can be judged on the two measuring index such as :the silhouette index and Davies-Bouldin Index ." @default.
- W100417087 created "2016-06-24" @default.
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- W100417087 date "2012-05-14" @default.
- W100417087 modified "2023-09-24" @default.
- W100417087 title "Pattern Clustering using Soft-Computing Approaches" @default.
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