An algorithm to assign
K centers to represent the clustering of
N points (
K<N). The points are iteratively adjusted (starting with a random sample of the
N points) so that each of the
N points is assigned to one of the
K clusters, and each of the
K clusters is the mean of its assigned points (Bishop, 1995).See,
Cluster Analysis ,
Neural Networks .