Data clustering using max-max roughness and its application to cluster patients suspected heart disease /
Mohd Amirol Redzuan Mat Rofi
Data clustering using max-max roughness and its application to cluster patients suspected heart disease / Mohd Amirol Redzuan Mat Rofi - Kuantan, Pahang : UMP, 2012 - xiii, 128 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM
Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012
Bibliography: p. 126-128
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.
THE0002011(Local)
Cluster analysis
Data mining
Data clustering using max-max roughness and its application to cluster patients suspected heart disease / Mohd Amirol Redzuan Mat Rofi - Kuantan, Pahang : UMP, 2012 - xiii, 128 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM
Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012
Bibliography: p. 126-128
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.
THE0002011(Local)
Cluster analysis
Data mining