cluster analysis - Using K-means clustering with predefined seeds in MATLAB -


i need , example showing how use k-means clustering in matlab using prespecified datapoints initial seeds.

thanks

idx = kmeans(x,k,'start',seeds)

will run k-means predefined datapoints seeds (such k rows of x, can choose seeds long it's k-by-p array, p number of columns of x) initial seeds. note if specify seeds, don't need specify k (pass [] instead). kmeans infer number of rows of seeds how many clusters want.

by default, kmeans chooses k randomly picked rows of x seeds.


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