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...
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| Format: | Article |
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Taylor and Francis
2021
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