CSharp Clustering Algorithm 1.0

"CSharp Clustering Algorithm" snapshot

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.

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Software information
Platform:
Windows 7/Vista/XP/2000, Unix/Linux
Publisher:
EgyFirst Software
Price:
Freeware
File size:
22.97 Mb
Date added:
November 5, 2014
Screenshot:
Product page:
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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