Data clustering using maximum dependency of attributes and its application to cluster agricultural products
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 a...
Main Author: | Hafiz Kamal, Leang |
---|---|
Format: | Undergraduates Project Papers |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/5031/ http://umpir.ump.edu.my/id/eprint/5031/ http://umpir.ump.edu.my/id/eprint/5031/1/CD6554.pdf |
Similar Items
-
Data clustering using min-min roughness and its application to cluster patients suspected diabetics
by: Mohd Ridzuan, Baharin
Published: (2012) -
Data clustering using max-max roughness and its application to cluster patients suspected heart disease
by: Mohd Amirol Redzuan, Mat Rofi
Published: (2012) -
Soft set approach for decision attribute selection in data clustering
by: Lok, Leh Leong
Published: (2013) -
Clustering High Dimensional Data Using Subspace And Projected Clustering Algorithms
by: Sembiring, Rahmat Widia, et al.
Published: (2010) -
Time series data intelligent clustering algorithm for landslide displacement prediction
by: Han, Liu, et al.
Published: (2018)