execute_datasets {Clustering} | R Documentation |
Evaluation clustering algorithm.
Description
Method of performing information processing
Usage
execute_datasets(
path,
df,
packages,
algorithm,
cluster_min,
cluster_max,
metrics,
attributes,
name_dataframe
)
Arguments
path |
Path where the datasets are located. |
df |
Data matrix or data frame, or dissimilarity matrix, depending on the value of the argument. |
packages |
Array defining the clustering package. The seven packages implemented are: cluster, ClusterR, amap, apcluster, pvclust. By default runs all packages. |
algorithm |
Array with the algorithms that implement the package. The algorithms implemented are: hclust,apclusterK, agnes,clara,daisy,diana,fanny,mona,pam,gmm,kmeans_arma,kmeans_rcpp, mini_kmeans, pvclust. |
cluster_min |
Minimum number of clusters. at least one must be. |
cluster_max |
Maximum number of clusters. cluster_max must be greater or equal cluster_min. |
metrics |
Array defining the metrics avalaible in the package. The night metrics implemented are: Entropy, Variation_information, Precision, Recall, F_measure, Fowlkes_mallows_index, Connectivity, Dunn and Silhouette. |
name_dataframe |
Name of data.frame when df is fill. |
Value
Returns a matrix with the result of running all the metrics of the algorithms contained in the packages we indicated.