𝔖 Bobbio Scriptorium
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Using principal component analysis in process performance for multivariate data

✍ Scribed by F.K. Wang; T.C.T. Du

Book ID
114231030
Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
278 KB
Volume
28
Category
Article
ISSN
0305-0483

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## Abstract Component extraction techniques are used widely in the analysis and interpretation of high‐dimensional climate datasets such as global sea surface temperatures (SSTs). Principal component analysis (PCA), a frequently used component extraction technique, provides an orthogonal representa