adjacency_knn: Calculate knn adjacency matrix
In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification
View source: R/LaplacianKernelLeastSquaresClassifier.R
adjacency_knn R Documentation
Calculate knn adjacency matrix
Description
Calculates symmetric adjacency: objects are neighbours is either one of them is in the set of nearest neighbours of the other.
Usage
adjacency_knn(X, distance = "euclidean", k = 6)
Arguments
X
matrix; input matrix
distance
character; distance metric used in the dist function
k
integer; Number of neighbours
Value
Symmetric binary adjacency matrix
RSSL documentation built on May 29, 2024, 2:38 a.m.
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View source: R/LaplacianKernelLeastSquaresClassifier.R
| adjacency_knn | R Documentation |
Calculate knn adjacency matrix
Description
Calculates symmetric adjacency: objects are neighbours is either one of them is in the set of nearest neighbours of the other.
Usage
adjacency_knn(X, distance = "euclidean", k = 6)
Arguments
X |
matrix; input matrix |
distance |
character; distance metric used in the |
k |
integer; Number of neighbours |
Value
Symmetric binary adjacency matrix
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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