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CMune Clustering Algorithm
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Description:
CMune is an enhanced version of Modified Sharp. Specifically, the number of parameters has been reduced from three to only two parameters to reduce the effort needed to select the best parameters. Also new validation indices; as well as new data sets; have been adopted for the purpose of comparing the proposed algorithm with the previous techniques. CMune 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
Publisher: EgyFirst Software See screenshot
Requirements: none
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