Mohd Amirol Redzuan, Mat Rofi (2012) Data clustering using max-max roughness and its application to cluster patients suspected heart disease. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.
|
Pdf
09.Data clustering using max-max roughness and its application to cluster patients suspected heart disease.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Nowadays,there are many technique to clustering large-scale data.One of the technique to clustering data is using the Rough Set Theory.The objective of this paper is to present the process of Data Clustering Using Maximum-Maximum Roughness and its application to cluster patients suspected heart disease. It is based on clustering techniques based on rough set theory name Max-Max Roughness to describes and employed regarding to solve a classification problem of heart disease patients.
| Item Type: | Undergraduates Project Papers |
|---|---|
| Additional Information: | Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012, SV: TUTUT HERAWAN, NO. CD: 6574 |
| Uncontrolled Keywords: | Cluster analysis Data mining |
| Subjects: | Q Science > QA Mathematics |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Shamsor Masra Othman |
| Date Deposited: | 15 Jan 2014 02:59 |
| Last Modified: | 06 Sep 2023 07:42 |
| URI: | http://umpir.ump.edu.my/id/eprint/4676 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |