CNN_kernel: CNN_kernel: fast adaptive density-aware kernel
In Spectrum: Fast Adaptive Spectral Clustering for Single and Multi-View Data
Description
Usage
Arguments
Value
Examples
View source: R/kernel_functions.R
Description
CNN_kernel: fast adaptive density-aware kernel
Usage
1
CNN_kernel(mat, NN = 3, NN2 = 7)
Arguments
mat
Matrix: matrix should have samples as columns and rows as features
NN
Numerical value: the number of nearest neighbours to use when calculating local sigma
NN2
Numerical value: the number of nearest neighbours to use when calculating common nearest neighbours
Value
A kernel matrix
Examples
1
CNN_kern <- CNN_kernel(blobs[,1:50])
Spectrum documentation built on Feb. 10, 2020, 9:07 a.m.
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Description Usage Arguments Value Examples
View source: R/kernel_functions.R
Description
CNN_kernel: fast adaptive density-aware kernel
Usage
1 | CNN_kernel(mat, NN = 3, NN2 = 7)
|
Arguments
mat |
Matrix: matrix should have samples as columns and rows as features |
NN |
Numerical value: the number of nearest neighbours to use when calculating local sigma |
NN2 |
Numerical value: the number of nearest neighbours to use when calculating common nearest neighbours |
Value
A kernel matrix
Examples
1 | CNN_kern <- CNN_kernel(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.
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