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Plot Sequence Clustering Results

Source: R/cluster_data.R
plot.net_clustering.Rd

Plot Sequence Clustering Results

Usage

# S3 method for class 'net_clustering'
plot(x, type = c("silhouette", "mds", "heatmap", "predictors"), ...)

Arguments

x

A net_clustering object.

type

Character. Plot type: "silhouette" (per-observation silhouette bars), "mds" (2D MDS projection), or "heatmap" (distance matrix heatmap ordered by cluster). Default: "silhouette".

...

Additional arguments (currently unused).

Value

A ggplot object (invisibly).

Examples

# \donttest{
set.seed(1)
seqs <- data.frame(
  V1 = sample(c("A","B","C"), 20, TRUE),
  V2 = sample(c("A","B","C"), 20, TRUE),
  V3 = sample(c("A","B","C"), 20, TRUE)
)
cl <- cluster_data(seqs, k = 2)
plot(cl, type = "silhouette")

# }