IEEE Style Citation: Shivani Chauhan, Bharti Nagpal, “Kmeans Clustering in R Studio,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1360-1362, 2019.
MLA Style Citation: Shivani Chauhan, Bharti Nagpal "Kmeans Clustering in R Studio." International Journal of Computer Sciences and Engineering 7.5 (2019): 1360-1362.
APA Style Citation: Shivani Chauhan, Bharti Nagpal, (2019). Kmeans Clustering in R Studio. International Journal of Computer Sciences and Engineering, 7(5), 1360-1362.
BibTex Style Citation:
@article{Chauhan_2019,
author = {Shivani Chauhan, Bharti Nagpal},
title = {Kmeans Clustering in R Studio},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1360-1362},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4413},
doi = {https://doi.org/10.26438/ijcse/v7i5.13601362}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.13601362}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4413
TI - Kmeans Clustering in R Studio
T2 - International Journal of Computer Sciences and Engineering
AU - Shivani Chauhan, Bharti Nagpal
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1360-1362
IS - 5
VL - 7
SN - 2347-2693
ER -
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Abstract
This paper describes about data mining and its techniques , the main focus for this paper is the clustering techniques. There are many different tools available for performing the clustering techniques , for this paper the clustering technique which is chosen is the Kmeans clustering and the tool which is used to perform this clustering technique is R studio. R studio is the tool which is used for both data mining as well as for the visual analytics also . The Kmeans clustering is the clustering technique which is used to cluster the data in which data items are categorised into the k groups of similarity. This tool not only provide interface to use data mining but it also give us a visual representation of the result generated by that data mining algorithm . The data set which has been used for performing Kmeans clustering consist of nine attributes and 583 observations.
Key-Words / Index Term
Data Mining. Clustering , classification ,clustering , Kmeans , R studio
References
[1]. Nikita Jain, Vishal Srivastava,” DATA MINING TECHNIQUES: A SURVEY PAPER” eISSN: 2319-1163 | pISSN: 2321-7308
[2]. Wahbeh, A.H., Al-Radaideh Q.A., Al-Kabi, M.N. and AlShawakfa E.M. 2010. A comparison study between Data Mining Tools over some classification methods. IJACSA, Special Issue on Artificial Intelligence, SAI Publisher, 2(8), pp. 18-26.
[3]. Auza, J. 2010. 5 of the Best Free and Open Source Data Mining Software. [Accessed Online March 2013] http://www.junauza.com/2010/11/free-data-miningsoftware.html.
[4]. Indian Liver Patient dataset https://archive.ics.uci.edu/ml/datasets/ILPD+(Indian+Liver+Patient+Dataset)
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