A survey on Efficient Enhanced K-Means Clustering Algorithm |
Author(s): |
| Prof. Nirali Mankad , Noble Engineering College, Junagadh, Gujarat 3Dr. Subhash Technical Campus, Junagadh, Gujarat; Prof. Vimal Pambhar, Noble Engineering College, Junagadh, Gujarat 3Dr. Subhash Technical Campus, Junagadh, Gujarat |
Keywords: |
| Data mining, Clustering, Partitioning methods, Hierarchical methods. |
Abstract |
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Data mining is the process of using technology to identify patterns and prospects from large amount of information. In Data Mining, Clustering is an important research topic and wide range of unverified classification application. Clustering is technique which divides a data into meaningful groups. K-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. In this paper, we present the comparison of different K-means clustering algorithms. |
Other Details |
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Paper ID: IJSRDV1I9016 Published in: Volume : 1, Issue : 9 Publication Date: 01/12/2013 Page(s): 1756-1758 |
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