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Code for computing the Adjusted Mutual Information (AMI) in Matlab (v7.x) can be downloaded here

Reference: 

 1. 'Information Theoretic Measures for Clusterings Comparison: Is a Correction  for Chance Necessary?', N.X. Vinh, Epps, J. and Bailey, J., in Procs. the 26th  International Conference on Machine Learning (ICML'09).

2.  'Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance', N.X. Vinh, Epps, J. and Bailey, J., the Journal of Machine Learning Research, 11(Oct), 2837-54, Available here.

 

Code for the minCEntropy algorithm for alternative clustering is available upon request

Reference: 

1. 'minCEntropy: a Novel Information Theoretic Approach for the Generation of Alternative Clusterings,' N. X. Vinh, Epps, J., the 10th IEEE Int. Conf. on Data Mining (ICDM'10), 2010, [ERA rank A, acceptance rate: 9% full paper]. PDF

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