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Extension of the Dip-test Repertoire -- Efficient and Differentiable p-value Calculation for Clustering
This accelerates computation and provides an approximation of the Dip- to Dip-p-value transformation for every single sample size.
Automatic Parameter Selection for Non-Redundant Clustering
In this paper, we propose a framework that utilizes the Minimum Description Length Principle (MDL) to detect the number of subspaces and clusters per subspace automatically.
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