Investigation Bat Algorithm Based on Artificial Bee Colony and C-means

Investigation Bat Algorithm Based on Artificial Bee Colony and C-means

In this study a Bat algorithm clustering is proposed that is based on Artificial Bee Colony (ABC)and Fuzzy C-means (FCM). When FCM is applied on high dimensional dataset, it usually resultsin local optimal partitioning. In this paper we address this problem and used a recently developedevolutionary technique named Artificial Bee Colony in combination to FCM. Hence, the name isFuzzy Cmeans Bee (FCB) algorithm. The method can detect globally optimal cluster centeroidsbetter than FCM as a most ...

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