expand_label_similarity: Expand Similarity Between Labels Based on a Precomputed...
In bbuchsbaum/neighborweights: Constructing Adjacency Matrices Based on Spatial and Feature Similarity
expand_label_similarity R Documentation
Expand Similarity Between Labels Based on a Precomputed Similarity Matrix
Description
Expands the similarity between labels based on a precomputed similarity matrix, 'sim_mat', with either above-threshold or below-threshold values depending on the value of the 'above' parameter.
Usage
expand_label_similarity(labels, sim_mat, threshold = 0, above = TRUE)
Arguments
labels
A vector of labels for which the similarities will be expanded.
sim_mat
A precomputed similarity matrix containing similarities between the unique labels.
threshold
A threshold value used to filter the expanded similarity values (default: 0).
above
A boolean flag indicating whether to include the values above the threshold (default: TRUE) or below the threshold (FALSE).
Value
A sparse symmetric similarity matrix with the expanded similarity values.
bbuchsbaum/neighborweights documentation built on April 1, 2024, 8:41 p.m.
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| expand_label_similarity | R Documentation |
Expand Similarity Between Labels Based on a Precomputed Similarity Matrix
Description
Expands the similarity between labels based on a precomputed similarity matrix, 'sim_mat', with either above-threshold or below-threshold values depending on the value of the 'above' parameter.
Usage
expand_label_similarity(labels, sim_mat, threshold = 0, above = TRUE)
Arguments
labels |
A vector of labels for which the similarities will be expanded. |
sim_mat |
A precomputed similarity matrix containing similarities between the unique labels. |
threshold |
A threshold value used to filter the expanded similarity values (default: 0). |
above |
A boolean flag indicating whether to include the values above the threshold (default: TRUE) or below the threshold (FALSE). |
Value
A sparse symmetric similarity matrix with the expanded similarity values.
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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