fitnessFunction_cpp

Combines cluster assignment and total distance calculation.
Returns Inf if any cluster has fewer than 2 members.

internal

Implements the Whale Optimization Algorithm(WOA) for k-medoids clustering, providing tools for effective and efficient cluster analysis in various data sets. The methodology is based on "The Whale Optimization Algorithm" by Mirjalili and Lewis (2016) <doi:10.1016/j.advengsoft.2016.01.008>.

Chenan Huang

WOAkMedoids

Whale Optimization Algorithm for K-Medoids Clustering

Narumasa Tsutsumida

fitnessFunction_cpp function

<dl><dt>dist_vec</dt>
<dd>Distance vector (from dist object)</dd>
<dt>nrows</dt>
<dd>Number of rows in the original data</dd>
<dt>medoids</dt>
<dd>Integer vector of medoid indices (1-indexed)</dd></dl>

Arguments

Fitness function for WOA optimization (C++ implementation) — fitnessFunction_cpp

<dl>

<dt>dist_vec</dt>
<dd>Distance vector (from dist object)</dd>


<dt>nrows</dt>
<dd>Number of rows in the original data</dd>


<dt>medoids</dt>
<dd>Integer vector of medoid indices (1-indexed)</dd>

</dl>

fitnessFunction_cpp: Fitness function for WOA optimization (C++ implementation)

Description

Usage

Value

Arguments