Unlike those traditional clustering algorithms, the spectral clustering algorithm can be applied to non-convex sphere of sample spaces and be converged to global optimal. As a entry point that the similar of spectral clustering, introduce improved weighted fuzzy similar matrix to spectral in this paper which avoids influence from parameters changes of fuzzy similar matrix in traditional spectral clustering on clustering effect and improves the effectiveness of clustering. It is more actual and scientific, which is tested based on UCI data set.
Lanzhou Univ Finance & Econ, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714
Li, Qiang. A spectrum clustering algorithm based on weighted fuzzy similar matrix[C]. LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND:TRANS TECH PUBLICATIONS LTD,2012:2109-2113.
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