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Description: ClustererEnsemble is a package containing methods for building ensembles of clusterers. In particular, ensembles of k-means clusterings are constructed with voting, weighted voting, selective voting, and selective weighted voting.

Reference: Z.-H. Zhou, W. Tang. Clusterer ensemble. Knowledge-Based Systems, 2006, 19(1): 77-83.

ATTN: This package is free for academic usage. You can run it at your own risk. For other purposes, please contact Prof. Zhi-Hua Zhou (

Requirement: The package was developed with Matlab.

ATTN2: This package was developed by Mr. Wei Tang ( For any problem concerning the code, please feel free to contact Mr. Tang.

Download: code (5.4Kb)
  Name Size
- ClustererEnsemble.rar 5.46 KB

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