Bottom-up Clustering (BUC) approach based on hierarchical clustering serves as one promising unsupervised clustering method… One key factor of BUC is the distance measurement strategy . We evaluate our method on large scale re-ID datasets, including Market-1501, DukeMTMC-reID and MARS . Extensive experiments show that our method obtains significant improvements over the state-of-the-art un-supervised methods, and even better than some transfer learning methods . We propose to use the energy distance to evaluate both the inter-cluster and intra-clusters distance in hierarchical clusters . We use the sum of squares of deviations(SSD) as a regularization term to further balance the diversity and similarity of energy distance evaluation . We also propose to evaluate the energy distances to evaluate an effective way to evaluate

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Keywords : evaluate - clustering - distance - energy - method -

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