A Survey of Forensic Analysis on Document Clustering

Substantial development in advanced world increases quickly. The method of analysing different criminal acts utilizing machine framework is known as Digital Forensic Analysis (DFA). In forensic analysis, large number of reports is overviewed. Information comprise of in unstructured format after processing we get structured framework. In the system, there are such a variety of records which will be utilized for research specific wrong doing by investigation officer. Document clustering is useful to grouped similar records together. There are numerous techniques and tools which are accessible for investigation to mechanize this sort of procedure. Clustering algorithm is currently generally utilized within forensic investigation. In this paper we give review on literature of forensic analysis. This paper gives organized perspective of different clustering methodologies, for example, K-means, K-medoids, Single Link, Complete Link and Average Link.