orthogonalizeAndQSparsify: sparsify a matrix

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

sparsify a matrix

Description

This implements a quantile based sparsification operation

Usage

orthogonalizeAndQSparsify(
  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	string sets the NMF or other algorithm to estimate V

Value

matrix

Author(s)

Avants BB

Examples

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

stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.