Fuzzy Social Spider Optimization Algorithm for Fuzzy Clustering Analysis

摘要

Fuzzy clustering is a significant research problem in quite a lot of real time applications. Fuzzy C-Means (FCM) is a well-known prominent fuzzy clustering algorithm easily trapped in local optima. For solving local optima, recently, social spider optimization is use as a proposed model for solving global optima problem based on the replication of cooperative performance of social spiders. In this paper, the traditional social spider optimization algorithm is an integrated with fuzzy theory for solving clustering problem which is refer to fuzzy social spider optimization (FSSO). The experimental result shows that the proposed fuzzy social spider optimization clustering algorithms reveal better performance for solving clustering problems.