rbfkernel_b: rbfkernel_b: fast self-tuning kernel
In Spectrum: Fast Adaptive Spectral Clustering for Single and Multi-View Data
Description
Usage
Arguments
Value
Examples
Description
rbfkernel_b: fast self-tuning kernel
Usage
1
rbfkernel_b(mat, K = 3, sigma = 1)
Arguments
mat
Matrix: matrix should have samples as columns and rows as features
K
Numerical value: the number of nearest neighbours to use when calculating local sigma
sigma
Numerical value: a global sigma, usually left to 1 which has no effect
Value
A kernel matrix
Examples
1
stsc_kern <- rbfkernel_b(blobs[,1:50])
Spectrum documentation built on Feb. 10, 2020, 9:07 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.
Description Usage Arguments Value Examples
Description
rbfkernel_b: fast self-tuning kernel
Usage
1 | rbfkernel_b(mat, K = 3, sigma = 1)
|
Arguments
mat |
Matrix: matrix should have samples as columns and rows as features |
K |
Numerical value: the number of nearest neighbours to use when calculating local sigma |
sigma |
Numerical value: a global sigma, usually left to 1 which has no effect |
Value
A kernel matrix
Examples
1 | stsc_kern <- rbfkernel_b(blobs[,1:50])
|
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.