cluster_visual: Visulize the clustering results

In xiangli2pro/hbcm: HBCM model for cluster analysis

Visulize the clustering results

Description

'colMat_reorder( )' reorder the columns of affinity matrix by specified groups.

'colMat_heatMap( )' plots the heatmap of affMatrix ordered by groups.

'crossValid( )' 2-fold crossValidation selects the number of clusters.

Usage

colMat_reorder(affMatrix, centers, labels)

colMat_heatMap(
  affMatrix,
  centers,
  labels,
  margin = 0.5,
  midpoint = 0,
  limit = c(-1, 1),
  size = 0.2,
  legendName = "",
  title = ""
)

crossValid_func_adjR(x, centers, pt)

Arguments

affMatrix	a square affinity matrix.
centers	number of clusters.
labels	label assignment of the columns.
margin	a numeric value adjusting the position of group lines.
midpoint	a numeric value of the midpoint of heatmap range.
limit	a numeric range of the values.
size	size of the groupline.
legendName	a character name of the legend.
title	a character name of the heatmap.
x	an input matrix.
pt	partition times.

Value

matReorder	affinity matrix reordered by groups.
groupLens	a vector of group lengths.

xiangli2pro/hbcm documentation built on Nov. 15, 2024, 9:15 a.m.