Principal Component Analysis (PCA)

By Takio Kurita. Computer Vision, A Reference Guide, 2014

548 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Computer Vision and Pattern Recognition, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5e8c039433010a25b828708349b4a187198f56d6

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In Molecular Biology

1. M. Landi

Citations in the corpus

• Principal Component Analysis on Spatial Data: An Overview (2013, unknown): “…dom-of PCA can be used for multivariate outlier detection ination of variables with the largest measurement units via dimensionality reduction, so that in the resultant in the first few PCs (Mackiewicz and Ratajczak 1993; transformed (PC) space, outliers are more readily Jolliffe 2002). observable.”
• Response of Phenylpropanoid Pathway and the Role of Polyphenols in Plants under Abiotic Stress (2019, background): “Solanum lycopersicon Heat Increase in total flavonol content [129]”