AN AVERAGE-BASED APPROACH FOR INITIAL CENTROID SELECTION IN K- MEANS ALGORITHM | [Pakistan Journal of Science • 2016]

Author(s):

1. A. Shafiq: Department of Computer Science, Lahore College for Women University,Lahore,Pakistan

2. M. Rehman: Department of Computer Science, Lahore College for Women University,Lahore,Pakistan

3. M. Anjum: Department of Computer Science, Lahore College for Women University,Lahore,Pakistan

Abstract:

The underlying research work was focused on one of the standard k-means issue of initial centroid selection. An average based approach was used for avoiding random cluster initialization. The experiments of this study showed that the results obtained with proposed method were better and consistent. It was concluded that the proposed method had less classification error, reduced total number of iterations and took less execution time than random initialization method.

Page(s): 441-444

DOI: DOI not available

Published: Journal: Pakistan Journal of Science, Volume: 68, Issue: 4, Year: 2016

Keywords:

Initial centroids , Data clustering , Partitionedbased clustering algorithms

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