Volume 5 Number 1 (Feb. 2013)
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IJCEE 2013 Vol.5(1): 120-122 ISSN: 1793-8163 DOI: 10.7763/IJCEE.2013.V5.677

A New Method to Enhance the Clustering Algorithm

Abolfazl Zanghaei, Mohammadjavad Abolhassani, Alireza Ahmadian, Mohammad Reza Ay, and Houshang Saberi
Abstract—In this paper we have presented a new method to enhance the clustering algorithm. Clustering is a method to label points in a two or more dimensional scatter plot. Some algorithms such as FCM, KNN or K-means implement this, but the problem occurs in the case that the clusters are close to each other or even they have overlaps (like neural data which we first encountered). In this state the human observer can detect some clusters on the scatter plot but the algorithms fail or they offer different clusters. To solve this problem we propose that the TPS transform on the primary data (clusters) can improve the clustering solution which is more likely to human perception of the clusters. To show the validity of our method we have used the SPSS analyses.

Index Terms—FCM, TPS, subtractive clustrering, image registration.

Abolfazl Zanghaei, Mohammadjavad Abolhassani, Alireza Ahmadian, and Mohammad Reza Ay are with Research Centre for Science & Technology in Medicine, Department of biomedical Eng & biophysics, Tehran University of Medical Sciences, Tehran, Iran (e-mail: zanghaei@razi.tums.ac.ir)
Houshang Saberi is with Brain & Spinal Injury Repair Research Center Tehran University of Medical Sciences, Tehran, Iran.

Cite: Abolfazl Zanghaei, Mohammadjavad Abolhassani, Alireza Ahmadian, Mohammad Reza Ay, and Houshang Saberi, "A New Method to Enhance the Clustering Algorithm," International Journal of Computer and Electrical Engineering vol. 5, no. 1, pp. 120-122, 2013.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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