get_classification {clustNet} | R Documentation |
get_classification
Description
Classification based on clustering
Usage
get_classification(cluster_results, data_classify)
Arguments
cluster_results |
Output from get_clusters() |
data_classify |
Data that should be classified; colnames need to match the ones of cluster_results$data; missing cols are allowed |
Value
a list containing the classification as "clustermembership" and the probabilities of belonging to the clusters as "allrelativeprobabs"
Examples
# choose data
sampled_data <- sampleData(n_vars = 15, n_samples = c(300,300,300))$sampled_data
# learn clusters
cluster_results <- get_clusters(sampled_data)
# visualize the networks
classification_results <- get_classification(cluster_results, sampled_data)
[Package clustNet version 1.2.0 Index]