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Selection of Variables to Preserve Multivariate Data Structure, Using Principal Components

โœ Scribed by Krzanowski, W. J.


Book ID
121191873
Publisher
JSTOR
Year
1987
Weight
1010 KB
Volume
36
Category
Article

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Variable selection in large environmenta
โœ Jacquelynne R. King; Donald A. Jackson ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 117 KB ๐Ÿ‘ 2 views

In many large environmental datasets redundant variables can be discarded without the loss of extra variation. Principal components analysis can be used to select those variables that contain the most information. Using an environmental dataset consisting of 36 meteorological variables spanning 37 y