UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 3
March-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREW06002


Registration ID:
312070

Page Number

9-14

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Title

Survey on Data Clustering Techniques

Abstract

Data Clustering is an important method used in the process of mining the data. It is a mechanism in which a collection of objects is allocated to classes where they are called clusters. Objects belonging to a particular cluster are identical in that cluster to other objects but dissimilar from objects belonging to other clusters. In case the data is spread across multiple sites, the clustering process becomes difficult and complex. When applied to distributed applications, distributed clustering comes as a relief to the problems of traditional clustering. Some clustering methods like centralized methodology, grid-based technology, density-based technology and their algorithms was discussed in this paper. The partitioned approach divides the data collection into system. It consists with a certain criterion of similarity, the hierarchical method establishes a hierarchy between the clusters, merging data items into groups. This article introduces the density-based strategy of distinguishing clusters of high population density with higher density objects by fusion of data objects onto rows or cells.

Key Words

Algorithms, Clustering, Grid-based, Hierarchical, K-means.

Cite This Article

"Survey on Data Clustering Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.9-14, March-2019, Available :http://www.jetir.org/papers/JETIREW06002.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Survey on Data Clustering Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp9-14, March-2019, Available at : http://www.jetir.org/papers/JETIREW06002.pdf

Publication Details

Published Paper ID: JETIREW06002
Registration ID: 312070
Published In: Volume 6 | Issue 3 | Year March-2019
DOI (Digital Object Identifier):
Page No: 9-14
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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