Comparison between SSTC and LINGO Algorithms in Clustered Based Semantic Search for Browsing Scholarships

Amount of information available on Internet is growing constantly. To explore the vast information search engines are used massively. They usually provide more than the required information. It takes huge amount of our precious time to go through all the information to find the relevant one. To resolve the issue it is best to display information in the form of meaningful clusters. This paper focuses on two of the clustering algorithms, SSTC and LINGO. These algorithms clusters the Web results based on the semantics of keyword. The analysis of both the algorithms is performed on browsing scholarships and shows that SSTC has better results than Lingo.