Universiti Teknologi Malaysia Institutional Repository

TCLUST: trimming approach of robust clustering method

Md. Jedi, Muhamad Alias and Adnan, Robiah (2012) TCLUST: trimming approach of robust clustering method. Malaysian Journal of Fundamental and Applied Sciences (MJFS), 8 (5). pp. 253-258. ISSN 1823-626X

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Official URL: http://mjfas.ibnusina.utm.my/index.php/jfs/article...

Abstract

TCLUST is a method in statistical clustering technique which is based on modification of trimmed k-means clustering algorithm. It is called “crisp” clustering approach because the observation is can be eliminated or assigned to a group. TCLUST strengthen the group assignment by putting constraint to the cluster scatter matrix. The emphasis in this paper is to restrict on the eigenvalues, λ of the scatter matrix. The idea of imposing constraints is to maximize the log-likelihood function of spurious-outlier model. A review of different robust clustering approach is presented as a comparison to TCLUST methods. This paper will discuss the nature of TCLUST algorithm and how to determine the number of cluster or group properly and measure the strength of group assignment. At the end of this paper, R-package on TCLUST implement the types of scatter restriction, making the algorithm to be more flexible for choosing the number of clusters and the trimming proportion.

Item Type:Article
Subjects:Q Science
Divisions:Science
ID Code:33569
Deposited By: Liza Porijo
Deposited On:07 May 2014 12:23
Last Modified:17 Oct 2017 16:05

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