`split_clusters_to_list()` will extract clusters from the cluster generated `data.frame`. It will then turn those clusters into a list. This allows users to more easily visualize their data.
Examples
cutoff <- 0.2
count_table <- read_count(example_path("amazon.full.count_table"))
distance_data <- read_dist(example_path("amazon_column.dist"),
count_table, cutoff, FALSE)
cluster_results <- cluster(distance_data, cutoff, method = "opticlust")
cluster_list <- split_clusters_to_list(cluster_results)