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K-means Clustering Algorithm for Dengue Disease Detection using Tanagra Tool

P.Yogapriya 1 , P.Geetha 2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 765-768, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.765768

Online published on Feb 28, 2019

Copyright © P.Yogapriya, P.Geetha . 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: P.Yogapriya, P.Geetha, “K-means Clustering Algorithm for Dengue Disease Detection using Tanagra Tool,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.765-768, 2019.

MLA Style Citation: P.Yogapriya, P.Geetha "K-means Clustering Algorithm for Dengue Disease Detection using Tanagra Tool." International Journal of Computer Sciences and Engineering 7.2 (2019): 765-768.

APA Style Citation: P.Yogapriya, P.Geetha, (2019). K-means Clustering Algorithm for Dengue Disease Detection using Tanagra Tool. International Journal of Computer Sciences and Engineering, 7(2), 765-768.

BibTex Style Citation:
@article{_2019,
author = {P.Yogapriya, P.Geetha},
title = {K-means Clustering Algorithm for Dengue Disease Detection using Tanagra Tool},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {765-768},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3740},
doi = {https://doi.org/10.26438/ijcse/v7i2.765768}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.765768}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3740
TI - K-means Clustering Algorithm for Dengue Disease Detection using Tanagra Tool
T2 - International Journal of Computer Sciences and Engineering
AU - P.Yogapriya, P.Geetha
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 765-768
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

Dengue disease caused over the tropical and sub-tropical area which spread by Aedes mosquitoes. Dengue has to turn into a severe healthiness problem occurs frequently in the humid and sub-tropical region. The scientists use the data mining algorithm for preventing and protecting different diseases like Dengue disease. This analysis of the attack of Dengue fever in different districts mainly Puducherry, Tamil Nadu. This paper helps to apply the algorithm for clustering of Dengue fever. After that, the construction of the clustering algorithm depends on the graph-based dataset. The K-Means clustering algorithm is applied to detect Dengue fever.

Key-Words / Index Term

Dengue, Clustering, K-Means

References

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