Improved GA-based text clustering algorithm

The traditional K-means algorithm is sensitive to the initial points and easy to fall into local optimum. To avoid this kind of flaw, an improved GA-based text clustering algorithm CGHCM is proposed. The new algorithm is proven effective to avoid falling into local optimum and obtains better clustering results.