Web Page Clustering by using Swarm Intelligence

Abstract

Clustering is unsupervised approach.Clustering is a procedure which segments a given information set into homogeneous group focused around given characteristics such that comparable items are kept in a same group while disparate articles are in different groups.Now a days large amount of information is available on Internet so Web mining is solution for gaining Knowledge and information.

In this dissertation, we use web-page clustering.It is used to cluster the search results containing same type of Documents.This will improve the similiarity search results which cointain similiar type of content.

In this dessertation LSI(Latent Semantic Indexing) is used for feature Reduction and then Hybrid PSO(particle Swarm Optimization) Technique is applied on the dataset to improve the result of Web page Clustering.