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# MLCA Metric Learning for Cluster Analysis (MLCA) - CVPR 2016 This is a Beta version for the code of our CVPR 2016 paper: Closed-Form Training of Mahalanobis Distance for Supervised Clustering. The MATLAB script demo.m gives an instance of how this code is meant to be used, generating a toy example which can be used as a proof of concept. The provided code corresponds to the toy experiment reported in Table 2 of our paper. - If you set the "noisy" parameter to false, it corresponds to the toy experiment reported in Table 3. - If you set the "same_cluster_size" parameter to true (while keeping "noisy" set to true), it corresponds to the toy experiment reported in Table 1. Marc T. Law
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Metric Learning for Cluster Analysis (MLCA) - CVPR 2016
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