Print the Results of Clustering
Usage
# S3 method for class 'tna_clustering'
print(x, ...)See also
Validation functions
bootstrap(),
deprune(),
estimate_cs(),
permutation_test(),
permutation_test.group_tna(),
plot.group_tna_bootstrap(),
plot.group_tna_permutation(),
plot.group_tna_stability(),
plot.tna_bootstrap(),
plot.tna_permutation(),
plot.tna_reliability(),
plot.tna_stability(),
print.group_tna_bootstrap(),
print.group_tna_permutation(),
print.group_tna_stability(),
print.summary.group_tna_bootstrap(),
print.summary.tna_bootstrap(),
print.tna_bootstrap(),
print.tna_permutation(),
print.tna_reliability(),
print.tna_stability(),
prune(),
pruning_details(),
reliability(),
reprune(),
summary.group_tna_bootstrap(),
summary.tna_bootstrap()
Examples
data <- data.frame(
T1 = c("A", "B", "A", "C", "A", "B"),
T2 = c("B", "A", "B", "A", "C", "A"),
T3 = c("C", "C", "A", "B", "B", "C")
)
# PAM clustering with optimal string alignment (default)
result <- cluster_sequences(data, k = 2)
print(result)
#> Clustering method: pam
#> Number of clusters: 2
#> Silhouette score: 0.4345238
#> Cluster sizes:
#> 1 2
#> 3 3