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scikit-learn-contrib/denmune-clustering-algorithm
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Description
DenMune a clustering algorithm that can find clusters of arbitrary size, shapes and densities in two-dimensions. Higher dimensions are first reduced to 2-D using the t-sne. The algorithm relies on a single parameter K (the number of nearest neighbors). The results show the superiority of DenMune. Enjoy the simplicty but the power of DenMune.
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| System | Package |
|---|---|
| PyPI | denmune |
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