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Journal of Software
Aim at the faults of Dynamic Clustering Algorithm based on Fuzzy Equation Matrix, we raise a fuzzy clustering algorithm based on factor analysis, which it combines the technology of reducing dimension using factor analyses method. The algorithm will deal with the sample collections before fuzzy clustering, which enlarge the scale of using dynamic clustering algorithm to resolve practical problems. All these show that the algorithm has a strong capability of concluding and abstracting throughdoi:10.4304/jsw.4.1.58-64 fatcat:qqdcmcbytvfvpb4qe7rejc5rrq