Clustering of Web Search Results Using Semantic

Clustering is related to data mining for information retrieval. Relevant information is retrieved quickly while doing the clustering of documents. It organizes the documents into groups; each group contains the documents of similar type content. Different clustering algorithms are used for clustering the documents such as partitioned clustering (K-means Clustering) and Hierarchical Clustering (Agglomerative Hierarchical Clustering (AHC)). This paper presents analysis of Semantic Suffix Tree Clustering (SSTC) Algorithm and other clustering techniques (K-means, AHC, and Lingo). SSTC perform the clustering and make the clusters based on synonyms shared between the documents. SSTC is faster clustering algorithm for document clustering as it is incremental. Keywords— Suffix tree, document clustering, semantic clustering, SSTC algorithm, partitioned clustering