new modified fuzzy c-means for determination of proper structure in dataset
This paper establishes an effective new fuzzy clustering algorithm for finding structure in dataset. In order to obtain a new effective fuzzy clustering, this paper mainly concentrates on cluster prototypes, fuzzy membership of objects, updating membership and termination parameters. Also to show the performance of the proposed methods, this paper tries to implement the methods to find a proper structure in a random data. This paper tries to illustrate the result of proposed methods as for visual inspection. The visual inspection may be done by program implementation using computer programming language. Also this paper tries to identify the best
fuzzy c-means clustering cluster prototypes fuzzy membership data analysis