Hierarchical Document Clustering: Review with Comparison

Hierarchical Document clustering is automatic organization of documents into clusters so that documents within a cluster have high similarity in comparison to documents in other clusters. It is based on the principle of maximizing intra-similarity and minimizing inter-similarity.It has been studied intensively because of its wide applicability in various areas such as web mining, search engines, and information retrieval. It provides efficient representation and visualization of the documents; thus helps in easy navigation also. In this paper, we have given overview of Hierarchical document clustering with its featureselection process, applications, challenges in document clustering, similarity measures and evaluation of document clustering algorithm.In this paper variousHierarchical document clustering techniques are discussed along with their pros and cons.