Data clustering using maximum dependency of attributes and its application to cluster agricultural products
Hafiz Kamal Leang
creator
text
theses
my
Kuantan, Pahang
UMP
2012
monographic
eng
xi, 105 p. : ill. (some col.) ; 30 cm. + 1 CD-ROM
This project is about understanding the method of Clustering Data using Rough set Theory. The technique used is Maximum Dependency of attributes. The way this technique work is by calculating the degree of each attribute and selecting the highest dependency based on the degree. The highest degree of attribute will be chosen as the best attribute to be used to cluster the data. A system will be built by using Visual Basic (VB) that will implement this technique to cluster large data faster and easier.
specialized
Hafiz Kamal Leang
Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012
Bibliography : p. 86-91
Cluster analysis
Data mining
THE0002013(Local)
UMP
121210
20251114204529.0
vtls000067581