GitHub / egy1st / denmune-clustering-algorithm

DenMune is 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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Topics: cluster-analysis, clustering-algorithm, data-mining, machine-learning, pattern-recognition

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