## Abstract Component extraction techniques are used widely in the analysis and interpretation of highβdimensional climate datasets such as global sea surface temperatures (SSTs). Principal component analysis (PCA), a frequently used component extraction technique, provides an orthogonal representa
Discarding Variables in a Principal Component Analysis. II: Real Data
β Scribed by Jolliffe, I. T.
- Book ID
- 121191872
- Publisher
- JSTOR
- Year
- 1973
- Weight
- 903 KB
- Volume
- 22
- Category
- Article
- DOI
- 10.2307/2346300
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