Due to the current encroachments in technology and also sharp lessening of storage cost, huge extents of documents are being put away in repositories for future references. At the same time, it is time consuming as well as costly to recover the user intrigued documents, out of these gigantic accumulations. Searching of documents can be made more efficient and effective if documents are clustered on the premise of their contents. This article uncovers a comprehensive discussion on various clustering algorithm used in text mining alongside their merits, demerits and comparisons. Further, author has likewise examined the key challenges of clustering algorithms being used for effective clustering of documents.
Garga and Guptab REF studied various partitioning and hierarchical clustering algorithms used in text mining alongside their metrics and demerits in detail.
Exploration of Various Clustering Algorithms for Text Mining
International Journal of Education and Management Engineering
Computer Science