KendallHeuristic {D2MCS} | R Documentation |
Feature-clustering based on Kendall Correlation Test.
Description
Performs the feature-clustering using Kendall correlation tests.
Details
The method estimate the association between paired samples and compute a test of the value being zero. They use different measures of association, all in the range [-1, 1] with 0 indicating no association. Method valid only for bi-class problems.
Super class
D2MCS::GenericHeuristic
-> KendallHeuristic
Methods
Public methods
Method new()
Empty function used to initialize the object arguments in runtime.
Usage
KendallHeuristic$new()
Method heuristic()
Test for association between paired samples using Kendall's tau value.
Usage
KendallHeuristic$heuristic(col1, col2, column.names = NULL)
Arguments
Returns
a numeric vector of length 1 or NA if an error occurs.
Method clone()
The objects of this class are cloneable with this method.
Usage
KendallHeuristic$clone(deep = FALSE)
Arguments
deep
Whether to make a deep clone.
See Also
[Package D2MCS version 1.0.1 Index]