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New three methods for improving initialization of k-means clustering
Joint Authors
Khudayr, Muslim Muhsin
al-Asadi, Abbas H. Husayn
Source
Issue
Vol. 31, Issue 2A (30 Jun. 2013), pp.73-85, 13 p.
Publisher
University of Basrah College of Science
Publication Date
2013-06-30
Country of Publication
Iraq
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The traditional k-means algorithm is a classical clustering method which widely used in variant application such as image processing, computer vision, pattern recognition and machine learning.
It is known that, the final result depends on the initial starting points.
Generally, initial cluster centers are selected randomly, so the algorithm could not lead to the unique result.
In this paper, we present a new algorithm which includes three methods to compute initial centers for k-means clustering.
First one is called geometric method which depends on equal areas of distribution.
The second is called block method which segments the image into uniform areas.
The last method called hybrid which combined between first and second methods.
The experimental results appeared quite satisfactory
American Psychological Association (APA)
al-Asadi, Abbas H. Husayn& Khudayr, Muslim Muhsin. 2013. New three methods for improving initialization of k-means clustering. Basrah Journal of Science،Vol. 31, no. 2A, pp.73-85.
https://search.emarefa.net/detail/BIM-336106
Modern Language Association (MLA)
al-Asadi, Abbas H. Husayn& Khudayr, Muslim Muhsin. New three methods for improving initialization of k-means clustering. Basrah Journal of Science Vol. 31, no. 2-A (2013), pp.73-85.
https://search.emarefa.net/detail/BIM-336106
American Medical Association (AMA)
al-Asadi, Abbas H. Husayn& Khudayr, Muslim Muhsin. New three methods for improving initialization of k-means clustering. Basrah Journal of Science. 2013. Vol. 31, no. 2A, pp.73-85.
https://search.emarefa.net/detail/BIM-336106
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 84-85
Record ID
BIM-336106