Clustering and mixture models#
K-means and its variants, density and hierarchical clustering, spectral clustering and Gaussian mixtures.
Affinity propagation clustering. |
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Agglomerative hierarchical clustering. |
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Variational Bayesian Gaussian mixture. |
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Bisecting k-means clustering. |
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Density-based clustering (DBSCAN). |
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Gaussian mixture model fitted by expectation-maximization. |
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Hierarchical density-based clustering (HDBSCAN). |
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HDBSCAN density-based clustering. |
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K-means clustering. |
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Mean shift clustering with a flat kernel. |
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Mini-batch k-means clustering. |
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Gaussian mixture models. |
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OPTICS density-based clustering. |
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Spectral clustering on a nearest-neighbor or precomputed affinity graph. |
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Spectral embedding (Laplacian eigenmaps) for nonlinear dimensionality reduction. |