01245nam a2200205 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100002200109245013300131260003400264300005700298502010900355504002800464520051000492650002101002650001601023vtls000067581KUKTEM20251114204529.0121210t2012    my da  f m    000 0 eng d  aTHE0002013(Local)  aUMP0 aHafiz Kamal Leang10aData clustering using maximum dependency of attributes and its application to cluster agricultural products /cHafiz Kamal Leang  aKuantan, Pahang :bUMP,c2012  axi, 105 p. :bill. (some col.) ;c30 cm. +e1 CD-ROM  aProject paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012  aBibliography : p. 86-913 aThis 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. 0aCluster analysis 0aData mining