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 (zhouzh@nju.edu.cn).
Requirement: The package was developed with Matlab.
ATTN2: This package was developed by Mr. Wei Tang (wtang314@yahoo.com). For any problem concerning the code, please feel free to contact Mr. Tang.
Download: [code] (5.4Kb)