EuclideanDist: Euclidean Distance
In stevexniu/FuseNet: Non-Parametric Network Fusion
EuclideanDist R Documentation
Euclidean Distance
Description
Compute euclidean nearest neighbor distances.
Usage
EuclideanDist(data, ka)
Arguments
data
An M x d matrix with M rows of data points and d columns of features.
ka
Number of nearest neighbors. See details from nn2.
Value
Returns the distance matrix.
Examples
{
dist.mat <- EuclideanDist(iris[,1:2], ka = 10)
}
stevexniu/FuseNet documentation built on May 16, 2022, 12:23 p.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.
| EuclideanDist | R Documentation |
Euclidean Distance
Description
Compute euclidean nearest neighbor distances.
Usage
EuclideanDist(data, ka)
Arguments
data |
An M x d matrix with M rows of data points and d columns of features. |
ka |
Number of nearest neighbors. See details from |
Value
Returns the distance matrix.
Examples
{
dist.mat <- EuclideanDist(iris[,1:2], ka = 10)
}
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.