cytominer (version 0.2.2)

sparse_random_projection: Reduce the dimensionality of a population using sparse random projection.

Description

sparse_random_projection reduces the dimensionality of a population by projecting the original data with a sparse random matrix. Generally more efficient and faster to compute than a Gaussian random projection matrix, while providing similar embedding quality.

Usage

sparse_random_projection(population, variables, n_components)

Arguments

population

tbl with grouping (metadata) and observation variables.

variables

character vector specifying observation variables.

n_components

size of the projected feature space.

Value

Dimensionality reduced population.

Examples

# NOT RUN {
population <- tibble::tibble(
  Metadata_Well = c("A01", "A02", "B01", "B02"),
  AreaShape_Area_DNA = c(10, 12, 7, 7),
  AreaShape_Length_DNA = c(2, 3, 1, 5),
  Intensity_DNA = c(8, 20, 12, 32),
  Texture_DNA = c(5, 2, 43, 13)
)
variables <- c("AreaShape_Area_DNA", "AreaShape_Length_DNA", "Intensity_DNA", "Texture_DNA")
sparse_random_projection(population, variables, 2)
# }