CSharp Clustering Algorithm 1.0
Description from the publisher
CSHARP Clustering Algorithm is presented for the purpose of finding clusters of arbitrary shapes and arbitrary densities in high dimensional feature spaces. It can find clusters of varying shapes, sizes and densities; even in the presence of noise and outliers and in high dimensional spaces as well. It is based on the idea of letting each data point vote for its K-nearest neighbors and adopting the points with the highest votes as clusters' seed
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Finding clusters of arbitrary shapes and densities in high dimensional spaces
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