listDerivableFeatureSpaces: Builds list of derivable feature spaces

In RclusTool: Graphical Toolbox for Clustering and Classification of Data Frames

Builds list of derivable feature spaces

Description

Builds list of derivable feature spaces.

Usage

listDerivableFeatureSpaces(
  scaling = FALSE,
  pca = FALSE,
  spectral = FALSE,
  RclusTool.env = initParameters()
)

Arguments

scaling	boolean TRUE if scaling required.
pca	boolean TRUE if Principal Components Analysis required.
spectral	boolean TRUE if Spectral Embedding required.
RclusTool.env	environment in which all global parameters, raw data and results are stored.

Details

listDerivableFeatureSpaces build the list of feature spaces matching parameters.

Value

character vector naming feature spaces.

Examples

listDerivableFeatureSpaces(scaling=TRUE, spectral=TRUE)

RclusTool documentation built on May 29, 2024, 5:23 a.m.