New rough set based maximum partitioning attribute algorithm for categorical data clustering
Clustering a set of data into homogeneous groups is a fundamental operation in data mining. Recently, consideration has been put on categorical data clustering, where the data set consists of non-numerical attributes. However, implementing several existing categorical clustering algorithms is challe...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2022
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/101497/1/MuftahMohamedJomahBaroudPSC2022.pdf.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|