Literature Survey of Image Retrieval Using Data Mining Clustering Technique
D. Saravanan1 , R.S. Nandhini2
Section:Review Paper, Product Type: Journal Paper
Volume-2 ,
Issue-7 , Page no. 105-110, Jul-2014
Online published on Jul 30, 2014
Copyright © D. Saravanan, R.S. Nandhini . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: D. Saravanan, R.S. Nandhini, “Literature Survey of Image Retrieval Using Data Mining Clustering Technique,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.7, pp.105-110, 2014.
MLA Style Citation: D. Saravanan, R.S. Nandhini "Literature Survey of Image Retrieval Using Data Mining Clustering Technique." International Journal of Computer Sciences and Engineering 2.7 (2014): 105-110.
APA Style Citation: D. Saravanan, R.S. Nandhini, (2014). Literature Survey of Image Retrieval Using Data Mining Clustering Technique. International Journal of Computer Sciences and Engineering, 2(7), 105-110.
BibTex Style Citation:
@article{Saravanan_2014,
author = {D. Saravanan, R.S. Nandhini},
title = {Literature Survey of Image Retrieval Using Data Mining Clustering Technique},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2014},
volume = {2},
Issue = {7},
month = {7},
year = {2014},
issn = {2347-2693},
pages = {105-110},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=217},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=217
TI - Literature Survey of Image Retrieval Using Data Mining Clustering Technique
T2 - International Journal of Computer Sciences and Engineering
AU - D. Saravanan, R.S. Nandhini
PY - 2014
DA - 2014/07/30
PB - IJCSE, Indore, INDIA
SP - 105-110
IS - 7
VL - 2
SN - 2347-2693
ER -
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Abstract
Data mining is the process of extract knowledge from an existing data, among the data sets image data is one is always huge by itself. The usage of this data is increasing rapidly due to his popularity. They are being used in every field today, due to that large amount of data are stored in the database every day. Among such stored data retrieval is not easy; we need a mechanism to group the data�s for fast retrieval. In this paper we discussed some of the existing clustering techniques for clustering the data�s.
Key-Words / Index Term
Data Mining, Image Mining, Clustering, Hierarchical Clustering, Cheameleon, Data Base, Image Retreival
References
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