knn.from.dist: get information about k nearest neighbors from a distance...
In donelsonsmith/umap_R: Uniform Manifold Approximation and Projection
Description
Usage
Arguments
Details
Value
Description
This implementation uses sorting of distances to identify the k elements
that are nearest to each data point. The result is deterministic and exact.
Usage
1
knn.from.dist(d, k)
Arguments
d
dist object or matrix with distances
k
integer, number of neighbors
Details
By definition, the first nearest neighbor to each point is the point itself.
Subsequent neighbors are "true" neighbors.
Value
list with two components;
indexes identifies, for each point in dataset, the set of k neighbors
distances provides distances from each point to those neighbors
donelsonsmith/umap_R documentation built on Nov. 4, 2019, 10:58 a.m.
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Description Usage Arguments Details Value
Description
This implementation uses sorting of distances to identify the k elements that are nearest to each data point. The result is deterministic and exact.
Usage
1 | knn.from.dist(d, k)
|
Arguments
d |
dist object or matrix with distances |
k |
integer, number of neighbors |
Details
By definition, the first nearest neighbor to each point is the point itself. Subsequent neighbors are "true" neighbors.
Value
list with two components; indexes identifies, for each point in dataset, the set of k neighbors distances provides distances from each point to those neighbors
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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