dimensionality_reduction: SVD based dimensionality reduction
In ctlab/ClusDec: Clustering approach to solve complete Deconvolution problem
Description
Usage
Arguments
Details
Description
Projection of given amtrix m to space of rank dims
Usage
1
dimensionality_reduction(m, dims, projection = FALSE)
Arguments
m
given matrix to be projected
dims
dimensionality of resulting matrix
projection
project resulting matrix to dims-1 dimensional hyperplane
Details
If needed given points are projected to hyperplane in resulting space
ctlab/ClusDec documentation built on May 14, 2019, 12:29 p.m.
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Description Usage Arguments Details
Description
Projection of given amtrix m to space of rank dims
Usage
1 | dimensionality_reduction(m, dims, projection = FALSE)
|
Arguments
m |
given matrix to be projected |
dims |
dimensionality of resulting matrix |
projection |
project resulting matrix to dims-1 dimensional hyperplane |
Details
If needed given points are projected to hyperplane in resulting space
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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