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Single Class Discrimination Using Principal Component Analysis (SCD‐PCA)
Quantitative Structure-Activity Relationships, 1991AbstractSingle 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 (PCA).
La Tunisie medicale, 2022Kamel, Ben Salem, Ahmed, Ben Abdelaziz
openaire +1 more source
Face recognition based on principal component analysis (PCA)
2022 4th International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM), 2022Caihua Qiu, Feng Ding
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Cross-Validatory Estimation of the Number of Components in Factor and Principal Components Models
Technometrics, 1978Svante Wold
exaly
Constructing socio-economic status indices: how to use principal components analysis
Health Policy and Planning, 2006Seema Vyas
exaly

