Fuzzy C-means clustering method of minimum variance optimization initial cluster center
An initial clustering center and initial clustering technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problem that the result cannot get the optimal solution
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[0056] In order to make the technical solutions of the present invention clearer and clearer to those skilled in the art, the present invention will be further described in detail below in conjunction with the examples and accompanying drawings, but the embodiments of the present invention are not limited thereto.
[0057] Such as figure 1 As shown, the fuzzy C-means clustering method of a minimum variance optimization initial cluster center provided in this embodiment includes the following steps:
[0058] Step S1: Clustering the distance relationship between the input data set and the sample points;
[0059] Step S2: using the cluster analysis method to perform cluster analysis on the target data set to obtain cluster labels;
[0060] Step S3: Perform performance evaluation on the cluster labels obtained after the cluster analysis and the original labels according to the evaluation indicators.
[0061]Further, in this embodiment, in the step S1, the input data set is input...
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