NuclearNormedCP: NuclearNormedCP
In HerveAbdi/DistatisR: DiSTATIS Three Way Metric Multidimensional Scaling
View source: R/NuclearnormCP.R
NuclearNormedCP R Documentation
NuclearNormedCP
Description
Normalizes a positive
semi-definite matrix by diving it by its
nuclear norm (i.e., the sum of the square root of
its eigen-values).
Usage
NuclearNormedCP(Y)
Arguments
Y
The matrix to normalize
Value
The normalized matrix
Examples
A <- toeplitz(c(1, 0.6))
NuclearNormedCP(A)
HerveAbdi/DistatisR documentation built on Nov. 12, 2023, 12:54 a.m.
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View source: R/NuclearnormCP.R
| NuclearNormedCP | R Documentation |
NuclearNormedCP
Description
Normalizes a positive semi-definite matrix by diving it by its nuclear norm (i.e., the sum of the square root of its eigen-values).
Usage
NuclearNormedCP(Y)
Arguments
Y |
The matrix to normalize |
Value
The normalized matrix
Examples
A <- toeplitz(c(1, 0.6))
NuclearNormedCP(A)
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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