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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

Principal Component Analysis

ACM Computing Surveys, 2022
Cesar H Comin, Filipi N Silva
exaly   +2 more sources

Principal Component Analysis (PCA).

La Tunisie medicale, 2022
Kamel, Ben Salem, Ahmed, Ben Abdelaziz
openaire   +1 more source

Principal Component Analysis (PCA)

2013
Daniel V. Guebel, Néstor V. Torres
openaire   +1 more source

Face recognition based on principal component analysis (PCA)

2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022
Caihua Qiu, Feng Ding
openaire   +1 more source

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