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:	QA Mathematics
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

id	ump-4676
recordtype	eprints
spelling	ump-46762016-06-24T07:39:27Z 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 application/pdf en http://umpir.ump.edu.my/id/eprint/4676/1/CD6574-MOHD_AMIROL_REDZUAN_MAT_ROFI.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. http://iportal.ump.edu.my/lib/item?id=chamo:67835&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Mohd Amirol Redzuan, Mat Rofi Data clustering using max-max roughness and its application to cluster patients suspected heart disease
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.
format	Undergraduates Project Papers
author	Mohd Amirol Redzuan, Mat Rofi
author_facet	Mohd Amirol Redzuan, Mat Rofi
author_sort	Mohd Amirol Redzuan, Mat Rofi
title	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_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_sort	data clustering using max-max roughness and its application to cluster patients suspected heart disease
publishDate	2012
url	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
first_indexed	2023-09-18T21:59:29Z
last_indexed	2023-09-18T21:59:29Z
_version_	1777414302566711296

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

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