GKernel_weights: 'GKernel_weights' computes the Gaussian kernel weights, using...
In JhZhang-1999/Rcvxclustr: Robust convex clustering: How does the fusion penalty enhance robustness?
GKernel_weights R Documentation
GKernel_weights computes the Gaussian kernel weights,
using the distance matrix as the input.
Description
GKernel_weights computes the Gaussian kernel weights,
using the distance matrix as the input.
Usage
GKernel_weights(phi, distance)
Arguments
phi
The parameter in the Gaussian kernel
distance
The distance matrix, with dimension n*n,
where n is the row count of the data matrix. The distance matrix can be generated
by function distance_matrix from the data matrix.
JhZhang-1999/Rcvxclustr documentation built on Aug. 18, 2022, 9:25 a.m.
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.
| GKernel_weights | R Documentation |
GKernel_weights computes the Gaussian kernel weights,
using the distance matrix as the input.
Description
GKernel_weights computes the Gaussian kernel weights,
using the distance matrix as the input.
Usage
GKernel_weights(phi, distance)
Arguments
phi |
The parameter in the Gaussian kernel |
distance |
The distance matrix, with dimension n*n,
where n is the row count of the data matrix. The distance matrix can be generated
by function |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.