get_minidend: Generate Minimum Dendrogram from Hierarchical Clustering

In funMoDisco: Motif Discovery in Functional Data

Generate Minimum Dendrogram from Hierarchical Clustering

Description

This function generates a minimum dendrogram by performing hierarchical clustering on an input distance matrix. The function identifies an optimal height cut based on the largest gap in cluster heights and returns the resulting dendrogram, allowing for further analysis of clustering structures.

Usage

get_minidend(adj_fMSR)

Arguments

adj_fMSR

A numeric matrix or a distance object representing the dissimilarity matrix computed from functional data. This matrix is used to perform hierarchical clustering.

Details

The function performs the following steps: 1. Uses 'fastcluster::hclust' to perform hierarchical clustering on the provided dissimilarity matrix using the "complete" method. 2. Extracts the heights of the clusters and identifies the largest gap in heights to determine the optimal cut position for the dendrogram. 3. Cuts the dendrogram at the identified height and returns the lower part of the cut.

Value

A dendrogram object representing the clustered data. The dendrogram is cut at the identified height, resulting in a tree structure that can be used for further analysis or visualization.

funMoDisco documentation built on April 16, 2025, 1:10 a.m.