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Principal Components Analysis
Definition
Principal Component Analysis (PCA) is a statistic-based method of identifying patterns in a large dataset while increasing interpretability and preserving information.
References
Wikipedia. (n.d.). Principal component analysis. Link
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D3FEND™
A knowledge graph of cybersecurity countermeasures