Analysis of mixed C-means clustering approach for brain tumour gene expression data
by S. Selva Kumar; H. Hannah Inbarani
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 5, No. 2, 2013

Abstract: Data mining has become an important topic in effective analysis of gene expression data due to its wide application in the biomedical industry. A gene cluster is a set of two or more genes that serve to encode for the same or similar products. Gene clustering is the process of grouping related genes in the same cluster as at the foundation of different genomic studies that aim at analysing the function of genes. Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The goal of gene clustering is to identify important genes and perform cluster discovery on samples. This paper reviews three of the most representative off-line clustering techniques: fuzzy C-means clustering, hierarchical clustering, and mixed C-means clustering. These techniques are implemented and tested against a brain tumour gene expression dataset. The performance of the three techniques is compared based on 'goodness of clustering' evaluation measures and mixed C-means show best performance than the other two clustering techniques for the brain tumour gene expression data.

Online publication date: Fri, 28-Feb-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Analysis Techniques and Strategies (IJDATS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email