A Review on Various Approaches for data Preserving Clustering in Data Mining

Authors(1) :-Deep Kumar

Data Mining is the process of extraction of valuable information from the raw data. Classification and clustering are the two main components that are used in data mining process.In the process of data mining various approaches have been used for clustering process so that data can be managed in the form of clusters. In this paper various approaches of clustering has been discussed. Various approaches have been used for clustering based on properties of the dataset instances. These approaches are based on centroid, rule based clustering and properties based clustering. On the basis of these approaches clustering approach that is suitable for large dataset has been selected.

Authors and Affiliations

Deep Kumar
Software Engineer, Igniva Solutions Private Limited, Mohali, Punjab, India

Clustering, K-Means, K-medioid, CobWeb, and DBSCAN

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 1341-1345
Manuscript Number : IJSRST1841164
Publisher : Technoscience Academy

Print ISSN : 2395-6011, Online ISSN : 2395-602X

Cite This Article :

Deep Kumar, " A Review on Various Approaches for data Preserving Clustering in Data Mining", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 8, pp.1341-1345, November-December-2017.
Journal URL : http://ijsrst.com/IJSRST1841164

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