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Resolving Issues of Empty Cluster Formation in KMEAN Algorithm Using Advanced Approach

Saumya Kumar1 , Neetu Verma2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-6 , Page no. 443-448, Jun-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i6.443448

Online published on Jun 30, 2019

Copyright © Saumya Kumar, Neetu Verma . 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: Saumya Kumar, Neetu Verma, “Resolving Issues of Empty Cluster Formation in KMEAN Algorithm Using Advanced Approach,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.6, pp.443-448, 2019.

MLA Style Citation: Saumya Kumar, Neetu Verma "Resolving Issues of Empty Cluster Formation in KMEAN Algorithm Using Advanced Approach." International Journal of Computer Sciences and Engineering 7.6 (2019): 443-448.

APA Style Citation: Saumya Kumar, Neetu Verma, (2019). Resolving Issues of Empty Cluster Formation in KMEAN Algorithm Using Advanced Approach. International Journal of Computer Sciences and Engineering, 7(6), 443-448.

BibTex Style Citation:
@article{Kumar_2019,
author = {Saumya Kumar, Neetu Verma},
title = {Resolving Issues of Empty Cluster Formation in KMEAN Algorithm Using Advanced Approach},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2019},
volume = {7},
Issue = {6},
month = {6},
year = {2019},
issn = {2347-2693},
pages = {443-448},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4569},
doi = {https://doi.org/10.26438/ijcse/v7i6.443448}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i6.443448}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4569
TI - Resolving Issues of Empty Cluster Formation in KMEAN Algorithm Using Advanced Approach
T2 - International Journal of Computer Sciences and Engineering
AU - Saumya Kumar, Neetu Verma
PY - 2019
DA - 2019/06/30
PB - IJCSE, Indore, INDIA
SP - 443-448
IS - 6
VL - 7
SN - 2347-2693
ER -

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Abstract

The k-means algorithm has been known as clustering techniques. It is used in various fields and domains such as medical imaging as well as biometrics fields etc. Although there are several optimums clustering mechanism in existence, the objective of paper is to discuss the clustering technique especially Kmean clustering. It has been observed that there are many researches already done in field of K-MEAN clustering. The issues related to Kmean clustering would be discussed in this research. Research has introduced the more effective and optimised cluster mechanism to classify the data set into various clusters.

Key-Words / Index Term

Clustering, Fuzzy, K-MEAN Clustering

References

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