kernel_pca: kernel_pca: A kernel pca function

In Spectrum: Fast Adaptive Spectral Clustering for Single and Multi-View Data

Description

kernel_pca: A kernel pca function

Usage

kernel_pca(datam, labels = FALSE, axistextsize = 18,
  legendtextsize = 18, dotsize = 3, similarity = TRUE)

Arguments

datam	Dataframe or matrix: a data frame with samples as columns, rows as features, or a kernel matrix
labels	Factor: to label the plot with colours
axistextsize	Numerical value: axis text size
legendtextsize	Numerical value: legend text size
dotsize	Numerical value: dot size
similarity	Logical flag: whether the input is a similarity matrix or not

Value

A kernel PCA plot

Examples

ex_kernel_pca <- kernel_pca(blobs[,1:50], similarity=FALSE)

Spectrum documentation built on Feb. 10, 2020, 9:07 a.m.