fitnessFunction_cpp: Fitness function for WOA optimization (C++ implementation)
In WOAkMedoids: Whale Optimization Algorithm for K-Medoids Clustering
fitnessFunction_cpp R Documentation
Fitness function for WOA optimization (C++ implementation)
Description
Combines cluster assignment and total distance calculation.
Returns Inf if any cluster has fewer than 2 members.
Usage
fitnessFunction_cpp(dist_vec, nrows, medoids)
Arguments
dist_vec
Distance vector (from dist object)
nrows
Number of rows in the original data
medoids
Integer vector of medoid indices (1-indexed)
Value
total_dist (double), Inf if invalid clustering
WOAkMedoids documentation built on Feb. 18, 2026, 5:06 p.m.
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| fitnessFunction_cpp | R Documentation |
Fitness function for WOA optimization (C++ implementation)
Description
Combines cluster assignment and total distance calculation. Returns Inf if any cluster has fewer than 2 members.
Usage
fitnessFunction_cpp(dist_vec, nrows, medoids)
Arguments
dist_vec |
Distance vector (from dist object) |
nrows |
Number of rows in the original data |
medoids |
Integer vector of medoid indices (1-indexed) |
Value
total_dist (double), Inf if invalid clustering
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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