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Grouping of Similar Handwritten Devanagari Scripts Using Different Distance Measures for Grid Based Approach

Prathima Guruprasad1 , Vijayalakshmi B2

Section:Review Paper, Product Type: Conference Paper
Volume-04 , Issue-03 , Page no. 54-57, May-2016

Online published on Jun 07, 2016

Copyright © Prathima Guruprasad , Vijayalakshmi B . 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: Prathima Guruprasad , Vijayalakshmi B , “Grouping of Similar Handwritten Devanagari Scripts Using Different Distance Measures for Grid Based Approach,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.03, pp.54-57, 2016.

MLA Style Citation: Prathima Guruprasad , Vijayalakshmi B "Grouping of Similar Handwritten Devanagari Scripts Using Different Distance Measures for Grid Based Approach." International Journal of Computer Sciences and Engineering 04.03 (2016): 54-57.

APA Style Citation: Prathima Guruprasad , Vijayalakshmi B , (2016). Grouping of Similar Handwritten Devanagari Scripts Using Different Distance Measures for Grid Based Approach. International Journal of Computer Sciences and Engineering, 04(03), 54-57.

BibTex Style Citation:
@article{Guruprasad_2016,
author = {Prathima Guruprasad , Vijayalakshmi B },
title = {Grouping of Similar Handwritten Devanagari Scripts Using Different Distance Measures for Grid Based Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2016},
volume = {04},
Issue = {03},
month = {5},
year = {2016},
issn = {2347-2693},
pages = {54-57},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=62},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=62
TI - Grouping of Similar Handwritten Devanagari Scripts Using Different Distance Measures for Grid Based Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Prathima Guruprasad , Vijayalakshmi B
PY - 2016
DA - 2016/06/07
PB - IJCSE, Indore, INDIA
SP - 54-57
IS - 03
VL - 04
SN - 2347-2693
ER -

           

Abstract

Due to increase in the amount of data, it is important to find useful information from data which is the main objective of data mining. Clustering is one of the techniques of data mining. Data clustering is the process of grouping similar data into same clusters. A Clustering Algorithm partitions a data set into several groups such that similarity within a group is larger than other groups. This paper gives the insight of grouping similar handwritten Devanagari words using STING algorithm. We take a wide view of the possible grouping using different distance measures on STING algorithm, compare their results and try to increase efficiency and decrease fault rate. The idea is to capture statistical information associated with spatial cells in such a manner that whole classes of queries and clustering problems can be answered. The most efficient implementation is one with least fault rate and that best distance measure to be considered to cluster the similar handwritten Devanagari scripts using STING algorithm.

Key-Words / Index Term

Data mining, Distance measures, Clustering, Grouping, Devanagari, STING algorithm

References

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[2] T. Zhang, R. Ramakrishnan and M. Livny. “BIRCH: an efficient data clustering method for very large databases”. Proc. 1996 ACMSIGMOD Int. Conf Management of Data, pp. 103-l14, Montreal, Canada, June 1996.
[3] Martin Ester, Hans-Peter Kriegal, Jorg S, Xiaowei Xu. “A Density-Based Algorithm for clustering in large spatial databases with noise”, Proceedings of 2nd International Conference on Knowledge Discovery and Data Mining, 1996.
[4] Jiawei Han and M Kamber, Data Mining: Concepts and Techniques, 2001 (Academic Press, San Diego, California, USA).
[5] T Soni Madhulatha. ”An Overview of Clustering Methods” IOSR Journal of engineering Vol. 2(4) pp: 710-725.
[6] R Pushpalatha and Dr K. Meenakshi Sundaram. “Survey paper on clustering techniques in data mining” International journal of advanced research in data mining and cloud computing (ijarcsa) Vol. 3, Issue 2, 2015.
[7] Jaskaranjit Kaur and Gurpreet Kaur, "Clustering Algorithms in Data Mining: A Comprehensive Study", International Journal of Computer Sciences and Engineering, Volume-03, Issue-07, Page No (57-61), Jul -2015, E-ISSN: 2347-269.