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kmeansK.zip
KMEANSK Performs K-means clustering given a list of feature vectors and k
The argument k indicates the number of clusters you want the data to be
divided into. data_vecs (N*R) is the set of R dimensional feature
vectors for N data points. Each ...
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k-meansPgenetic_hybride.rar
HGK, an hybrid algorythm with k-means and genetic applied on a small dataset for clustering (finding patterns and approximative solutions).
have to run k-means befor lunching the HGK
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Final_v2.zip
SpectralClustering performs one of three spectral clustering algorithms (Unnormalized, Shi & Malik, Jordan & Weiss) on a given adjacency matrix. SimGraph creates such a matrix out of a given set of data and a given distance function.
The code has been ...
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