Research of optimal K-means initial clustering center
LI Ken-li · Computer Engineering and Applications Journal · 2007
The K-means algorithm with the clustering dependence on the initial center may sink into the part smallest.The algorithm which using multi-centers clustering based on the density function and combining small cluster merger solves the computing space minimize,controls the rate of convergence.The experiment result surpass to K-means clustering result obviously.The every repeated operation incline toward discover super surface of sphere cluster.The algorithm has better clustering ability particularly to the irregular and extendable center.