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stat.ML2019
A close-up comparison of the misclassification error distance and the adjusted Rand index for external clustering evaluation
José E. Chacón
The misclassification error distance and the adjusted Rand index are two of the most commonly used criteria to evaluate the performance of clustering algorithms. This paper provide…
stat.ML2016
Mixture model modal clustering
José E. Chacón
The two most extended density-based approaches to clustering are surely mixture model clustering and modal clustering. In the mixture model approach, the density is represented as…