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Wasserstein k-means
Wasserstein k-means
PulseAugur coverage of Wasserstein k-means — every cluster mentioning Wasserstein k-means across labs, papers, and developer communities, ranked by signal.
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New RWSD method improves cluster number selection for distributional data
Researchers have introduced Relative Wasserstein Spatial Depth (RWSD), a novel criterion for selecting the optimal number of clusters in distributional data. This method compares the depth of a distribution within its a…
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New clustering method identifies market regimes in time series
Researchers have developed a new method called sliced Wasserstein k-means (sWk-means) clustering to automatically classify market regimes in multidimensional time series data. This technique extends the existing Wassers…