Principal Component Analysis (PCA) | SpringerLink
https://link.springer.com/referencework/10.1007/978-3-030-03243-2
WebFeb 6, 2020 · Principal component analysis (PCA) is a standard tool in modern data analysis and is used by almost all scientific disciplines. The goal of PCA is to identify the most meaningful basis to reexpress a given data set. It is expected that this new basis will reveal hidden structure in the data set and filter out the noise.
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