adj_mat: Covert data matrix to adjacency matrix
In ConsensusClustering: Consensus Clustering
View source: R/basic_functions.R
adj_mat R Documentation
Covert data matrix to adjacency matrix
Description
Covert data matrix to adjacency matrix
Usage
adj_mat(X, method = "euclidian")
Arguments
X
a matrix of samples by features.
method
method for distance calculation:
"euclidian", "cosine", "maximum", "manhattan",
"canberra", "binary", "minkowski",
Value
calculated adjacency matrix from the data matrix using the specified methods
Examples
X = gaussian_clusters()$X
Adj = adj_mat(X, method = "euclidian")
ConsensusClustering documentation built on Sept. 11, 2024, 6:38 p.m.
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View source: R/basic_functions.R
| adj_mat | R Documentation |
Covert data matrix to adjacency matrix
Description
Covert data matrix to adjacency matrix
Usage
adj_mat(X, method = "euclidian")
Arguments
X |
a matrix of samples by features. |
method |
method for distance calculation:
|
Value
calculated adjacency matrix from the data matrix using the specified methods
Examples
X = gaussian_clusters()$X
Adj = adj_mat(X, method = "euclidian")
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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