SubspaceProjection: Subspace Projection
In Epsilon127/ldder: Local Density Derivative Estimation
Description
Usage
Arguments
Value
View source: R/MeanShiftAlgoritms.R
Description
Subspace Projection
Usage
1
SubspaceProjection(x, theta2)
Arguments
x
Vector [d]
theta2
The vectorized Hessian of the log-density [d^2]
Value
Projects a vector on the d-1 dimensional subspace spanned by the d-1
eigenvectors corresponding to the d-1 smallest eigenvalues of the Hessian of
the log-density.
Epsilon127/ldder documentation built on March 7, 2020, 7:47 a.m.
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Description Usage Arguments Value
View source: R/MeanShiftAlgoritms.R
Description
Subspace Projection
Usage
1 | SubspaceProjection(x, theta2)
|
Arguments
x |
Vector [d] |
theta2 |
The vectorized Hessian of the log-density [d^2] |
Value
Projects a vector on the d-1 dimensional subspace spanned by the d-1 eigenvectors corresponding to the d-1 smallest eigenvalues of the Hessian of the log-density.
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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