create_sequence_cluster_ensemble: Create a sequence-cluster ensemble

In gp3sequences: Transparent Analysis of Ordered Categorical Sequences

Create a sequence-cluster ensemble

Description

Combines multiple named cluster assignments through a co-association matrix and applies hierarchical clustering to 1 - co-association.

Usage

create_sequence_cluster_ensemble(..., k, linkage = "average")

Arguments

...	Two or more gp3_sequence_clustering objects or named assignment vectors.
k	Number of consensus clusters.
linkage	Hierarchical linkage applied to the co-association distance.

Value

An object of class gp3_sequence_cluster_ensemble containing the consensus assignments, co-association matrix, model, and source solutions.

Examples

sequences <- data.frame(
  sequence_id = rep(c("s1", "s2", "s3", "s4"), each = 4L),
  sequence_order = rep(1:4, times = 4L),
  state = c("A", "B", "C", "D", "A", "B", "C", "C",
            "D", "C", "B", "A", "D", "C", "A", "A"),
  group = rep(c("g1", "g2"), each = 8L),
  stringsAsFactors = FALSE
)
d1 <- compute_sequence_distance(sequences, method = "lcs")
d2 <- compute_sequence_distance(sequences, method = "transition")
create_sequence_cluster_ensemble(cluster_sequences(d1, 2L),
                                 cluster_sequences(d2, 2L), k = 2L)

gp3sequences documentation built on Aug. 23, 2026, 5:10 p.m.