adjacency: Computes adjacency matrix given similarity matrix. Each...
In alyssajs/CS599: Hierarchical and K-Means Clustering
Description
Usage
Arguments
Value
Examples
Description
Computes adjacency matrix given similarity matrix. Each observation is connected
to its K-nearest neighbors and the similarity measures as provided by the
similarity matrix are used as edge weights.
Usage
1
adjacency(distance.mat, similarity.mat, K)
Arguments
distance.mat
Matrix of pairwise distances between observations
similarity.mat
Matrix of pairwise similarities between observations
K
Number of nearest neighbors to connect each observation to
Value
Adjacency matrix
Examples
1
2
3
distMat <- pairwiseDistance(iris[1:50, 1:4])
similarityMat <- similarity(iris[1:50, 1:4])
adjacency(distMat, similarityMat, 3)
alyssajs/CS599 documentation built on June 17, 2021, 6:29 p.m.
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Description Usage Arguments Value Examples
Description
Computes adjacency matrix given similarity matrix. Each observation is connected to its K-nearest neighbors and the similarity measures as provided by the similarity matrix are used as edge weights.
Usage
1 | adjacency(distance.mat, similarity.mat, K)
|
Arguments
distance.mat |
Matrix of pairwise distances between observations |
similarity.mat |
Matrix of pairwise similarities between observations |
K |
Number of nearest neighbors to connect each observation to |
Value
Adjacency matrix
Examples
1 2 3 | distMat <- pairwiseDistance(iris[1:50, 1:4])
similarityMat <- similarity(iris[1:50, 1:4])
adjacency(distMat, similarityMat, 3)
|
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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