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Journal of Applied Statistics
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October 30, 2023
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data
Siti Zahariah, Habshah Midi
Journal of Applied Statistics
|
June 27, 2022
Detection of outliers in high-dimensional data using <i>nu</i>-support vector regression
Abdullah Mohammed Rashid, Habshah Midi, Waleed Dhhan, et al.
Sensors (Basel, Switzerland)
|
September 9, 2020
Robust Wavelength Selection Using Filter-Wrapper Method and Input Scaling on Near Infrared Spectral Data
Divo Dharma Silalahi, Habshah Midi, Jayanthi Arasan, et al.
Heliyon
|
February 12, 2020
Kernel partial diagnostic robust potential to handle high-dimensional and irregular data space on near infrared spectral data
Divo Dharma Silalahi, Habshah Midi, Jayanthi Arasan, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
Journal of Applied Statistics
|
October 30, 2023
Minimum regularized covariance determinant and principal component analysis-based method for the identification of high leverage points in high dimensional sparse data
Siti Zahariah, Habshah Midi
Journal of Applied Statistics
|
June 27, 2022
Detection of outliers in high-dimensional data using <i>nu</i>-support vector regression
Abdullah Mohammed Rashid, Habshah Midi, Waleed Dhhan, et al.
Sensors (Basel, Switzerland)
|
September 9, 2020
Robust Wavelength Selection Using Filter-Wrapper Method and Input Scaling on Near Infrared Spectral Data
Divo Dharma Silalahi, Habshah Midi, Jayanthi Arasan, et al.
Heliyon
|
February 12, 2020
Kernel partial diagnostic robust potential to handle high-dimensional and irregular data space on near infrared spectral data
Divo Dharma Silalahi, Habshah Midi, Jayanthi Arasan, et al.
Page
of 1