Improved algorithm for the k-means clustering
Sheng Zhang, Shouqiang Wang · 2012
This paper investigates the standard k-means clustering and gives an improved algorithm based on selecting the initial centers and overcoming the local minimal values. Experiments show that the new algorithm is more effective and can get a better result than the standard k-means clustering.