JohnsonLindenstraussMinDim: 'johnson_loindenstrauss_min_dim' estimated the minimal size...
In chappers/randomProjection:
Description
Usage
Arguments
Value
Description
johnson_loindenstrauss_min_dim estimated the minimal size of the
random subspace to guarantee a bounded distortion introduced by the random projection.
Usage
1
JohnsonLindenstraussMinDim(n_samples, eps = 0.1)
Arguments
n_samples
is the size of the subspace
eps
the epsilon error which is acceptable.
Value
the conservative estiamtion of the minimal size of the random subspace give eps.
chappers/randomProjection documentation built on May 13, 2019, 3:30 p.m.
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Description Usage Arguments Value
Description
johnson_loindenstrauss_min_dim estimated the minimal size of the
random subspace to guarantee a bounded distortion introduced by the random projection.
Usage
1 | JohnsonLindenstraussMinDim(n_samples, eps = 0.1)
|
Arguments
n_samples |
is the size of the subspace |
eps |
the epsilon error which is acceptable. |
Value
the conservative estiamtion of the minimal size of the random subspace give eps.
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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