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R/mModeCovariance.R
In tensorBSS: Blind Source Separation Methods for Tensor-Valued Observations
Defines functions
mModeCovariance
Documented in
mModeCovariance
mModeCovariance <-
function(x, m, center = TRUE, normalize = TRUE){
if(center == TRUE) x <- tensorCentering(x)
xm <- mFlatten(x, m)
normalize_int <- normalize*1
matrixCovariance(xm, normalize_int)
}
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tensorBSS documentation built on June 2, 2021, 9:08 a.m.
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Defines functions mModeCovariance
Documented in mModeCovariance
mModeCovariance <-
function(x, m, center = TRUE, normalize = TRUE){
if(center == TRUE) x <- tensorCentering(x)
xm <- mFlatten(x, m)
normalize_int <- normalize*1
matrixCovariance(xm, normalize_int)
}
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R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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