Introduction - If you have any usage issues, please Google them yourself
k-means algorithm to accept input k then n-k of data objects into a cluster in order to make the cluster available to meet: the object of the same cluster in the high similarity the similarity of different objects in clusters smaller. Cluster similarity is the use of the mean of each cluster obtained by objects in a " central object" (center of gravity) to be calculated.