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)