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• W2744220545 abstract "Measuring the similarity between two different PCA models is a key step in pattern matching, monitoring of processes with multiple operating conditions and other applications. This paper first explains the limitations of several existing methods for measuring the similarity of PCA models through a comprehensive comparison based on simulation, then defines the elliptical principal angle, based on which, a new PCA similarity factor capable of reflecting both the gradual rotation and the gradual eigenvalue change of a PCA model sensitively and smoothly is proposed." @default.
• W2744220545 created "2017-08-17" @default.
• W2744220545 creator A5006201976 @default.
• W2744220545 creator A5067368540 @default.
• W2744220545 date "2017-07-01" @default.
• W2744220545 modified "2023-09-23" @default.
• W2744220545 title "A new PCA similarity factor based on elliptical principal angle" @default.
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• W2744220545 doi "https://doi.org/10.1109/icca.2017.8003158" @default.
• W2744220545 hasPublicationYear "2017" @default.
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