An Evolutionary Computation Based on GA Optimal Clustering
Ching‐Hsue Cheng, Liang‐Ying Wei · 2007
Clustering analysis is utilized to analyze the clustering phenomenon occurred to the data structure. This paper proposes a new GA-based clustering method based on the stopping conditions which consider the clustering accuracy for datasets. From experiment results using the UCI datasets of WINE and IRIS, which indicate that the accuracy of the proposed method is better than the listing methods, and the speed of convergence is very fast.