A Survey On Clustering High Dimensional Data Techniques

  P.Thiyagarajan,  R.Aarthi

Cluster analysis is the one in which uses to divide the data into groups. It mainly developed for the propose of summarization and improved understanding. The example for cluster analysis has been given below. Let we takes the group which related to document for browsing. That are in order to find the genes and proteins which has similar functionality, or as a means of data compression. The term clustering has a long history and a large no of clustering techniques which have been developed in statistics and pattern recognition. This provide a short introduction to cluster analysis, and then find the focus on challenge of clustering high dimensional data. Hereby i present a brief overview of several recent techniques , including a more detailed description of recent work of our own which uses a concept based clustering approach.

Keywords- Data mining, clustering, high dimensional data, Subspace clustering, Projected clustering

Unique Identification Number - IJEDR1404031
Page Number(s) - 3575-3577
Pubished in - Volume 2 | Issue 4 | Dec 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  P.Thiyagarajan,  R.Aarthi,   "A Survey On Clustering High Dimensional Data Techniques", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 4, pp.3575-3577, Dec 2014, Available at :http://www.ijedr.org/papers/IJEDR1404031.pdf