The vertical scale on the dendrogram represent the distance or dissimilarity. Each joining (fusion) of two clusters is represented on the diagram by the splitting of a vertical line into two vertical …

Nov 22, 2020 · I'm quite new to cluster analysis and I was trying to perform a hierarchical clustering algorithm (in R) on my data to spot some groups in my dataset. Initially, I tried with …

Cutting a dendrogram at a certain level gives a set of clusters. Cutting at another level gives another set of clusters. How would you pick where to cut the dendrogram? Is there something …

Sep 3, 2016 · I've lately been reading about hierarchical clustering algorithms, and various discussions about how to interpret dendrograms or find optimal heights for cutting a dendrogram.

I have dendrogram and a distance matrix. I wish to compute a heatmap -- without re-doing the distance matrix and clustering. Is there a function in R that permits this?

May 16, 2023 · I have been using this dendrogram to visually identify clusters, and then clusters within the clusters, in order to understand product groupings. The process of manually …

How to interpret dendrogram height for clustering by correlation Ask Question Asked 11 years, 6 months ago Modified 8 years, 5 months ago

Mar 25, 2021 · I have viewed this clustering with an interactive dendrogram, but I want to understand how to interpret this better. A static view of my plot looks like this: The x-axis is all …

Nov 13, 2020 · Why is the top part of the second picture all red? In the first dendrogram we see three distinct colors, indicating clusters that has emerged at time t, then when t grows we have …

Jan 9, 2015 · You may, however, compare dendrogram looks of results produced by the same method but different data. Maxim: direct, appearance comparing of dendrograms after different …