ProjectSWNE: Projects new data onto an existing swne embedding

In yanwu2014/swne: Similarity Weighted Nonnegative Embedding: A method for visualizing high dimensional datasets

Projects new data onto an existing swne embedding

Description

Projects new data onto an existing swne embedding

Usage

ProjectSWNE(
  swne.embedding,
  H.test,
  SNN = NULL,
  alpha.exp = 1,
  snn.exp = 1,
  n_pull = NULL
)

Arguments

swne.embedding	Existing swne embedding from EmbedSWNE
H.test	Test factor scores
SNN	Test SNN matrix
alpha.exp	Increasing alpha.exp increases how much the factors "pull" the samples
snn.exp	Decreasing snn.exp increases the effect of the similarity matrix on the embedding
n_pull	Number of factors pulling on each sample. Must be >= 3

Value

SWNE embedding for the test data

yanwu2014/swne documentation built on Aug. 5, 2023, 4:42 a.m.