A genetic algorithm that exchanges neighboring centers for k-means clustering
Pattern Recognition Letters
ISSN or ISBN
We present a genetic algorithm for selecting centers to seed the popular k-means method for clustering. Using a novel crossover operator that exchanges neighboring centers, our GA identifies superior partitions using both benchmark and large simulated data sets.
Laszlo, Michael J. and Mukherjee, Sumitra, "A genetic algorithm that exchanges neighboring centers for k-means clustering" (2007). CEC Faculty Articles. 5.