Clustering of Web Search Results Using Semantic
P. P. Shelke, S. V. Dhopte, Abrar S. Alvi · 2013
Abstract — 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.