clustering_genetic_algorithm {emcAdr} | R Documentation |
Clustering of the solutions of the genetic algorithm using the hclust algorithm
Description
Clustering of the solutions of the genetic algorithm using the hclust algorithm
Usage
clustering_genetic_algorithm(
genetic_results,
ATCtree,
dist.normalize = TRUE,
umap_config = NULL
)
Arguments
genetic_results |
A list of cocktails in the form of integer vector |
ATCtree |
ATC tree with upper bound of the DFS |
dist.normalize |
Do we normalize the distance (so it belongs to [0;1]) |
umap_config |
The configuration to use in order to project the cocktails in a smaller space (umap::umap.defaults by default) |
Value
A dataframe containing UMAP 1/2 the two coordinates of each cocktails in the plane as well as the cluster number of each cocktails
Examples
data("ATC_Tree_UpperBound_2024")
results = GeneticAlgorithm(epochs = 10, nbIndividuals = 10,
ATCtree = ATC_Tree_UpperBound_2024,
observations = FAERS_myopathy)
hclust_genetic_solution(genetic_results = results,
ATCtree = ATC_Tree_UpperBound_2024)
[Package emcAdr version 1.2 Index]