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 …

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 …

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

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 …

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.

Feb 14, 2016 · Dendrogram. On a dendrogram "Y" axis, typically displayed is the proximity between the merging clusters - as was defined by methods above. Therefore, for example, in …

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?

Now to turn the resultant dendrogram into a number of groups of points (flat clusters), I want to choose which level to cut the tree at (the same as choosing the number of clusters).

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 …

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 …