Clustering analysis based learning of Web Mining

Abstract

The World Wide Web has a giant amount of different forms of data and mining the data leads to
knowledge discovery which is used in various fields. These discoveries need a proper way to be analysed for further use
such as in machine learning, artificial intelligence etc. Clustering is a conventional method of analysing web data and
giving best solutions by different evaluation methods. There are various clustering algorithms present but the accuracy
and efficiency is what needed in analysis. In this paper, the comparisons of two of the major clustering algorithms i.e. kmeans and Hierarchical algorithm is done and the best algorithm is shown through external evaluation method