Type-2 Projected Gustafson-Kessel Clustering Algorithm
نویسندگان
چکیده
We propose a type-2 based clustering algorithm to capture data points and attributes relationship embedded in fuzzy subspaces. It is a modification of Gustafson Kessel clustering algorithm through deployment of type-2 fuzzy sets for high dimensional data. The experimental results have shown that type-2 projected GK algorithm perform considerably better than the comparative techniques. General Terms: Data Mining, Fuzzy sets.
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