orthogonalizeAndQSparsifyOld: sparsify a matrix

In ANTsX/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

sparsify a matrix

Description

This implements a quantile based sparsification operation

Usage

orthogonalizeAndQSparsifyOld(
  v,
  sparsenessQuantile = 0.5,
  positivity = "either",
  orthogonalize = TRUE,
  softThresholding = FALSE,
  unitNorm = FALSE,
  sparsenessAlg = NA
)

Arguments

v	input matrix
sparsenessQuantile	quantile to control sparseness - higher is sparser
positivity	restrict to positive or negative solution (beta) weights. choices are positive, negative or either as expressed as a string.
orthogonalize	run gram-schmidt if TRUE.
softThresholding	use soft thresholding
unitNorm	set each vector to unit norm
sparsenessAlg	NA is default otherwise basic, spmp or orthorank

Value

matrix

Author(s)

Avants BB

Examples

mat <- replicate(100, rnorm(20))
mat <- orthogonalizeAndQSparsify(mat)

ANTsX/ANTsR documentation built on March 29, 2025, 6:24 p.m.