optim.pca.variance.j.new: Optimized PCA Variance
In RSDA: R to Symbolic Data Analysis
optim.pca.variance.j.new R Documentation
Optimized PCA Variance
Description
Optimized PCA Variance
Usage
optim.pca.variance.j.new(sym.data, num.dimension)
Arguments
sym.data
An Interval Matrix
num.dimension
Number of dimensions
Value
Concept Projections onto the principal components,
Classical PCA,
Variance Best Matrix
RSDA documentation built on Nov. 10, 2023, 5:06 p.m.
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| optim.pca.variance.j.new | R Documentation |
Optimized PCA Variance
Description
Optimized PCA Variance
Usage
optim.pca.variance.j.new(sym.data, num.dimension)
Arguments
sym.data |
An Interval Matrix |
num.dimension |
Number of dimensions |
Value
Concept Projections onto the principal components, Classical PCA, Variance Best Matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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