Aplikasi CLuFA (Clustering Using Go Fuzzy C-Means Algorithm)

BADRUL HISHAM, NURUL HAMIZAH (2010) Aplikasi CLuFA (Clustering Using Go Fuzzy C-Means Algorithm). Other thesis, Universiti Teknologi Malaysia.

[img]
Preview
PDF
nurulhamizahac060214d10ttt.pdf

Download (2583Kb) | Preview

Abstract

Until now, there are lots of web applications for clustering gene expression available via the internet. These applications are using various clustering techniques to get the best clustering result. Unfortunately, result from those kind of technique, also known as traditional clustering technique, are inconsistent because they are using ‘one gene, one cluster’ theory. CLuFA (Clustering using GO Fuzzy c-means Algorithm) application is a web application that develops using clustering technique GO Fuzzy c-means. This technique is using ‘one gene, many clusters’ theory and also requires prior biological knowledge to get more constant clustering result. CLuFA application is developing by using Hypertext Preprocessor (PHP) programming technique and MySQL database. The methodology that been used to develop the CLuFA application is Web Engineering. Hopefully CLuFA application can help the user at giving the best clustering result and is user-friendly.

Item Type: Thesis (Other)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science and Information System > Bioinfomatic
Depositing User: Unnamed user with email knizam@utm.my
Date Deposited: 04 Jul 2013 06:58
Last Modified: 04 Jul 2013 06:58
URI: http://ir.fsksm.utm.my/id/eprint/31

Actions (login required)

View Item View Item