International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 79 - Issue 2 |
Published: October 2013 |
Authors: Arpita Agrawal, Hitesh Gupta |
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Arpita Agrawal, Hitesh Gupta . Global K-Means (GKM) Clustering Algorithm: A Survey. International Journal of Computer Applications. 79, 2 (October 2013), 20-24. DOI=10.5120/13713-1472
@article{ 10.5120/13713-1472, author = { Arpita Agrawal,Hitesh Gupta }, title = { Global K-Means (GKM) Clustering Algorithm: A Survey }, journal = { International Journal of Computer Applications }, year = { 2013 }, volume = { 79 }, number = { 2 }, pages = { 20-24 }, doi = { 10.5120/13713-1472 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2013 %A Arpita Agrawal %A Hitesh Gupta %T Global K-Means (GKM) Clustering Algorithm: A Survey%T %J International Journal of Computer Applications %V 79 %N 2 %P 20-24 %R 10.5120/13713-1472 %I Foundation of Computer Science (FCS), NY, USA
K-means clustering is a popular clustering algorithm but is having some problems as initial conditions and it will fuse in local minima. A method was proposed to overcome this problem known as Global K-Means clustering algorithm (GKM). This algorithm has excellent skill to reduce the computational load without significantly affecting the solution quality. We studied GKM and its variants and presents a survey with critical analysis. We also proposed a new concept of Faster Global K-means algorithms for Streamed Data sets (FGKM-SD). FGKM-SD improves the efficiency of clustering and will take low time & storage space.