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ICPR
2008
IEEE

Spectral aggregation for clustering ensemble

9 years 10 months ago
Spectral aggregation for clustering ensemble
Since a large number of clustering algorithms exist, aggregating different clustered partitions into a single consolidated one to obtain better results has become an important problem. We propose a new algorithm for clustering ensemble based on spectral clustering. We also propose a criteria along with this algorithm, for the detection of cluster numbers. Our algorithm can determine the number of clusters more accurately with less volatility, and therefore can deduce a better combined clustering result. Experimental results on both synthesis and real data-sets show the capability and robustness of our approach.
Xi Wang, Chunyu Yang, Jie Zhou
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Xi Wang, Chunyu Yang, Jie Zhou
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