A Spectrum Clustering Algorithm Based on Weighted Fuzzy Similar Matrix

Qiang Li

doi:10.4028/www.scientific.net/AMR.482-484.2109

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 482-484A Spectrum Clustering Algorithm Based on Weighted...

A Spectrum Clustering Algorithm Based on Weighted Fuzzy Similar Matrix

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 482-484)

Pages:

2109-2113

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.482-484.2109

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Online since:

February 2012

Authors:

Qiang Li

Keywords:

Fuzzy Clustering, Fuzzy Similar Matrix, Spectral Clustering

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References

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