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

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 dise...

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Bibliographic Details
Main Author: Mohd Amirol Redzuan, Mat Rofi
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/4676/
http://umpir.ump.edu.my/id/eprint/4676/
http://umpir.ump.edu.my/id/eprint/4676/1/CD6574-MOHD_AMIROL_REDZUAN_MAT_ROFI.pdf
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Summary: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.