sparsify a matrix — orthogonalizeAndQSparsify • ANTsR

This implements a quantile based sparsification operation

orthogonalizeAndQSparsify(
  v,
  sparsenessQuantile = 0.5,
  positivity = "either",
  orthogonalize = TRUE,
  softThresholding = FALSE,
  unitNorm = FALSE
)

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

Value

matrix

Author

Avants BB

Examples


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