rankBasedMatrixSegmentation: rank-based segmentation of a matrix
In neuroconductor-devel/ANTsR: ANTs in R: Quantification Tools for Biomedical Images
View source: R/multiscaleSVDxpts.R
rankBasedMatrixSegmentation R Documentation
rank-based segmentation of a matrix
Description
rank-based segmentation of a matrix
Usage
rankBasedMatrixSegmentation(
v,
sparsenessQuantile,
basic = FALSE,
positivity = "positive",
transpose = FALSE
)
Arguments
v
input matrix
sparsenessQuantile
a value in zero to one
basic
simplest keep top k-entries in each row
positivity
one of positive, negative, either
transpose
work on the transpose
Value
matrix
Author(s)
Avants BB
Examples
mat <- matrix(1:200, nrow = 10)
matr <- rankBasedMatrixSegmentation(mat, 0.9, basic = FALSE, positivity = "positive")
neuroconductor-devel/ANTsR documentation built on July 3, 2025, 10:41 p.m.
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View source: R/multiscaleSVDxpts.R
| rankBasedMatrixSegmentation | R Documentation |
rank-based segmentation of a matrix
Description
rank-based segmentation of a matrix
Usage
rankBasedMatrixSegmentation(
v,
sparsenessQuantile,
basic = FALSE,
positivity = "positive",
transpose = FALSE
)
Arguments
v |
input matrix |
sparsenessQuantile |
a value in zero to one |
basic |
simplest keep top k-entries in each row |
positivity |
one of positive, negative, either |
transpose |
work on the transpose |
Value
matrix
Author(s)
Avants BB
Examples
mat <- matrix(1:200, nrow = 10)
matr <- rankBasedMatrixSegmentation(mat, 0.9, basic = FALSE, positivity = "positive")
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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