Introduction - If you have any usage issues, please Google them yourself
k-means algorithm accepts parameters k n and the previously input data is divided into k-clustering objects in order to make the obtained cluster met: the same high similarity clustering objects objects and different clustering Similarity small. The use of the cluster similarity clustering objects obtained by a mean of " central object" (center of gravity) to be calculated for.