Date of Award
Master of Science (MS)
This project explains the process of clustering web pages. With the immense increase in the number of web pages available on the internet, it has become difficult to search for web pages. The clustering of web pages will improve the presentation of web pages to the user and saves the time spent on searching web pages. Various clustering techniques have been proposed by various research scientists to cluster the web pages, but all the techniques suggested have some drawbacks. Since there is lot of scope for further improvement in the field of clustering, the system proposed in this report takes the clustering of web pages a step ahead. The proposed system use the queries from the user and get the results from search engine, then processes the results and provides the final result clusters to users.
Sabnis, Ameya, "Hybrid Clustering with Application to Web Pages" (2009). Master's Projects. Paper 74.