Clustering Techniques of Data Mining- A Review
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.8, No. 7)Publication Date: 2019-07-30
Authors : Ranbir Gagat; Sikander Singh;
Page : 152-160
Keywords : Hierarchical clustering; partitional clustering; Density-based clustering; Grid – based clustering;
Abstract
Data mining is the approach which is applied to extract useful information from the raw data. The technique of clustering, the similar and dissimilar type of data are clustered together to analyze complex data. The previous times, various types of clustering have been proposed for the efficient data analysis. In this paper, density-based clustering and their techniques have been reviewed and compared in terms of various parameters.
Other Latest Articles
- A Study on Impact of Socio-Economic Features on Committing Crime
- THE EFFECT OF INTERNAL FACTORS ON CAPITAL STRUCTURE AND ITS IMPACT ON FIRM VALUE: EMPIRICAL EVIDENCE FROM THE FOOD AND BAVERAGES INDUSTRY LISTED ON INDONESIAN STOCK EXCHANGE 2013-2017
- THE EFFECT OF DISTRIBUTION STRENGTH ON CUSTOMER SATISFACTION IN PT SEMEN TIGA RODA
- ETHER AND EQUIVALENCE OF INERTIAL FRAMES OF REFERENCE
- FORMALIZATION OF CONTROL MECHANISMS: THE CASE OF SMALL COMPANIES
Last modified: 2019-08-06 17:30:06