*Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad
**Assistant Professor, Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad
Online published on 11 April, 2014.
This Literature aims to the current state of document clustering present recent developments in a well-organized manner. A comparative analysis of the algorithms is performed along with properties. The process of clustering aims to discover natural groupings, and thus present an overview of the classes in a collection of documents. Document clustering is a subset of the larger field of data clustering can be divided into discriminative and generative types. Broadly speaking, discriminative to operate on pair wise similarities between every document.
K-Means Clustering, PK-means Clustering, Spectral Clustering, Latent semantic indexing, Locality Preserving Indexing, Correlation preserving indexing
