Euclidean Distance as a Similarity Metric for Principal Component Analysis
By Kim Elmore, Michael B. Richman. 2001
159 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Global and Planetary Change, Media Technology
View Paper: https://www.semanticscholar.org/paper/4256a190f9ddf5eac5ce8948cc22bc9a1362d20a
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In Global and Planetary Change
Citations in the corpus
- Climate-driven changes in coastal marine systems of western Europe (2010, background): “The PCA of eigenvectors identifies parameters that are close to each other in a Euclidean distance sense (Elmore & Richman 2001), thereby providing a new similarity matrix choice.”