Introduction - If you have any usage issues, please Google them yourself
K-means is a clustering algorithm
In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids.
There are two function for that the kMeanCluster and distMatrix