Advancement in Clustering with the Concept of Correlation Clustering: A Survey
Aaditya Jain,  Pooja Mehar,  Dr. Bala Buksh
Abstract – Today many scientific, medical and business applications depend heavily on information derived through analysis of large data. Clustering plays an important role in the analysis of data points. A pair wise relationship between any two data points were found to have existed in what is called categorical data. But issue remains as it is so include multiple relations data points instead of pair wise relationships. Both traditional and newer methods of clustering are used widely to recognize structure of data. Correlation Clustering is a relatively newer method of viewing data and the relationships existing among data points. This paper provides a brief survey about the recent developments in the direction of Correlation Clustering.
Keywords- Clustering, Categorical relationships, Correlation Clustering, Edge labeled graphs, Chromatic Correlation Clustering, Spectral Clustering.
Cite this Article
Aaditya Jain,  Pooja Mehar,  Dr. Bala Buksh,   "Advancement in Clustering with the Concept of Correlation Clustering: A Survey"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 2, pp.1002-1005, May 2016, Available at :http://www.ijedr.org/papers/IJEDR1602175.pdf