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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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/4676/1/09.Data%20clustering%20using%20max-max%20roughness%20and%20its%20application%20to%20cluster%20patients%20suspected%20heart%20disease.pdf
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author Mohd Amirol Redzuan, Mat Rofi
author_facet Mohd Amirol Redzuan, Mat Rofi
author_sort Mohd Amirol Redzuan, Mat Rofi
collection UMP
description 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.
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spelling UMPir46762023-09-06T07:42:31Z http://umpir.ump.edu.my/id/eprint/4676/ Data clustering using max-max roughness and its application to cluster patients suspected heart disease Mohd Amirol Redzuan, Mat Rofi QA Mathematics 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. 2012-06 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/4676/1/09.Data%20clustering%20using%20max-max%20roughness%20and%20its%20application%20to%20cluster%20patients%20suspected%20heart%20disease.pdf 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.
spellingShingle QA Mathematics
Mohd Amirol Redzuan, Mat Rofi
Data clustering using max-max roughness and its application to cluster patients suspected heart disease
title Data clustering using max-max roughness and its application to cluster patients suspected heart disease
title_full Data clustering using max-max roughness and its application to cluster patients suspected heart disease
title_fullStr Data clustering using max-max roughness and its application to cluster patients suspected heart disease
title_full_unstemmed Data clustering using max-max roughness and its application to cluster patients suspected heart disease
title_short Data clustering using max-max roughness and its application to cluster patients suspected heart disease
title_sort data clustering using max max roughness and its application to cluster patients suspected heart disease
topic QA Mathematics
url http://umpir.ump.edu.my/id/eprint/4676/1/09.Data%20clustering%20using%20max-max%20roughness%20and%20its%20application%20to%20cluster%20patients%20suspected%20heart%20disease.pdf
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