propagateLabelsDiffusion: Estimate labeling distribution for each vertex, based on...

In conos: Clustering on Network of Samples

Estimate labeling distribution for each vertex, based on provided labels using Random Walk

Description

Estimate labeling distribution for each vertex, based on provided labels using Random Walk

Usage

propagateLabelsDiffusion(
  graph,
  labels,
  max.iters = 100,
  diffusion.fading = 10,
  diffusion.fading.const = 0.1,
  tol = 0.025,
  verbose = TRUE,
  fixed.initial.labels = TRUE
)

Arguments

graph	input graph
labels	vector of factor or character labels, named by cell names
max.iters	maximal number of iterations (default=100)
tol	numeric Absolute tolerance as a stopping criteria (default=0.025)
verbose	boolean Verbose mode (default=TRUE)
fixed.initial.labels	boolean Prohibit changes of initial labels during diffusion (default=TRUE)

conos documentation built on Oct. 17, 2022, 9:07 a.m.