GenericHeuristic: Abstract Feature Clustering heuristic object.

In D2MCS: Data Driving Multiple Classifier System

Abstract Feature Clustering heuristic object.

Description

Abstract class used as a template to define new customized clustering heuristics.

Details

The GenericHeuristic is an archetype class so it cannot be instantiated.

Methods

Public methods

• GenericHeuristic$new()

• GenericHeuristic$heuristic()

• GenericHeuristic$clone()

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Method new()

Empty function used to initialize the object arguments in runtime.

Usage

GenericHeuristic$new()

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Method heuristic()

Function used to implement the clustering heuristic.

Usage

GenericHeuristic$heuristic(col1, col2, column.names = NULL, ...)

Arguments

col1

A numeric vector or matrix required to perform the clustering operation.

col2

A numeric vector or matrix to perform the clustering operation.

column.names

An optional character vector with the names of both columns

...

Further arguments passed down to heuristic function.

Returns

A numeric vector of length 1.

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Method clone()

The objects of this class are cloneable with this method.

Usage

GenericHeuristic$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Dataset

D2MCS documentation built on Aug. 23, 2022, 5:07 p.m.