K-means clustering Algorithm to improve website performance

摘要

Website navigation has become one of the most important design features across many domains, including finance, e-commerce, 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 WebPages 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.