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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Format: | Undergraduates Project Papers |
Language: | English |
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2012
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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. |
first_indexed | 2024-03-06T11:43:07Z |
format | Undergraduates Project Papers |
id | UMPir4676 |
institution | Universiti Malaysia Pahang |
language | English |
last_indexed | 2024-03-06T11:43:07Z |
publishDate | 2012 |
record_format | dspace |
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 |
work_keys_str_mv | AT mohdamirolredzuanmatrofi dataclusteringusingmaxmaxroughnessanditsapplicationtoclusterpatientssuspectedheartdisease |