K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the greater the similarity

K-mean\dades.mat
K-mean\isodata.m
K-mean\kmedia.m
K-mean\main.m
K-mean\provaisodata.m
K-mean\provakmedia.m
K-mean

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