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 |
| Published: |
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/4676/ 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 |
| _version_ | 1848817441527824384 |
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| author | Mohd Amirol Redzuan, Mat Rofi |
| author_facet | Mohd Amirol Redzuan, Mat Rofi |
| author_sort | Mohd Amirol Redzuan, Mat Rofi |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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 | 2025-11-15T01:21:49Z |
| format | Undergraduates Project Papers |
| id | ump-4676 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:21:49Z |
| publishDate | 2012 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-46762023-09-06T07:42:31Z 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/ 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 |