UMP Institutional Repository

Data clustering using max-max roughness and its application to cluster patients suspected heart disease

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.

[img]
Preview
PDF
CD6574-MOHD_AMIROL_REDZUAN_MAT_ROFI.pdf

Download (1MB)

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
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: 24 Jun 2016 07:39
URI: http://umpir.ump.edu.my/id/eprint/4676
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item