K-means clustering algorithm to improve website performance
Website navigation has become one of the most important design features across many domains, including finance, ecommerce, entertainment, education, government, and medical. A main reason is that the web developers understanding of how a website should be structured can be significantly different from that of the users. Various methods have been proposed to relink Web Pages to improve navigability using user navigation data. The proposed k-means clustering algorithm reorganizes accessing methodology that can avoid unpredictability in terms of reloading time. The proposed method takes less time when compared to the existing algorithms.