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...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | 学位論文 |
| 言語: | English English English |
| 出版事項: |
2010
|
| 主題: | |
| オンライン･アクセス: | 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/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|