Rough set approach for categorical data clustering
A few techniques of rough categorical data clustering exist to group objects having similar characteristics. However, the performance of the techniques is an issue due to low accuracy, high computational complexity and clusters purity. This work proposes a new technique called Maximum Dependen...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English English English |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3609/1/24p%20TUTUT%20HERAWAN.pdf http://eprints.uthm.edu.my/3609/2/TUTUT%20HERAWAN%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/3609/3/TUTUT%20HERAWAN%20WATERMARK.pdf http://eprints.uthm.edu.my/3609/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|