Detection of outliers in high-dimensional data using nu-support vector regression
Support Vector Regression (SVR) is gaining in popularity in the detection of outliers and classification problems in high-dimensional data (HDD) as this technique does not require the data to be of full rank. In real application, most of the data are of high dimensional. Classification of high-dimen...
| Main Authors: | Mohammed Rashid, Abdullah, Midi, Habshah, Dhhan, Waleed, Arasan, Jayanthi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor and Francis
2021
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/96639/ http://psasir.upm.edu.my/id/eprint/96639/1/ABSTRACT.pdf |
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