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Single Class Discrimination Using Principal Component Analysis (SCD‐PCA)

Quantitative Structure-Activity Relationships, 1991
AbstractSingle Class Discrimination using Principal Component Analysis (SCD‐PCA) has been developed to discriminate an embedded data class. The embedded class is defined as the active class and the diffuse class, or classes as the inactives. Two basic methods are described.
Valerie S. Rose   +2 more
openaire   +1 more source

A spatial distribution - Principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil.

Science of the Total Environment, 2022
Jiawei Liu   +9 more
semanticscholar   +1 more source

Reconfigurable Array Design to Realize Principal Component Analysis (PCA)-Based Microwave Compressive Sensing Imaging System

IEEE Antennas and Wireless Propagation Letters, 2015
M. Liang   +4 more
semanticscholar   +1 more source

Female erectile tissues and sexual dysfunction after pelvic radiotherapy: A scoping review

Ca-A Cancer Journal for Clinicians, 2022
Deborah C Marshall, Mas   +2 more
exaly  

Supervised feature selection using principal component analysis

Knowledge and Information Systems, 2023
F. Rahmat   +9 more
semanticscholar   +1 more source

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