calcKNNgraph_euclidean: Calculate k Nearest Neighbors from Euclidean distance metric
In scfurl/m3addon: This package adds to the popular "monocle3"
Description
Usage
Arguments
Value
Description
Each distance metric has its own function for speed/efficiency
This takes a sample X feature matrix and returns
a matrix of k nearest neighbors. This is the one for Euclidean.
Usage
1
calcKNNgraph_euclidean(x, k = 1L)
Arguments
x
An m x n numeric matrix
k
The number of nearest neighbors to return
per sample
Value
An m x k matrix of indicies 1...k of the
nearest neighbors for the specified row based on
Euclidean distance.
scfurl/m3addon documentation built on Aug. 9, 2021, 5:30 p.m.
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Description Usage Arguments Value
Description
Each distance metric has its own function for speed/efficiency This takes a sample X feature matrix and returns a matrix of k nearest neighbors. This is the one for Euclidean.
Usage
1 | calcKNNgraph_euclidean(x, k = 1L)
|
Arguments
x |
An m x n numeric matrix |
k |
The number of nearest neighbors to return per sample |
Value
An m x k matrix of indicies 1...k of the nearest neighbors for the specified row based on Euclidean distance.
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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