How to interpret the dendrogram of a hierarchical cluster analysis
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 …
clustering - Where to cut a dendrogram? - Cross Validated
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 …
Hierarchical clustering and Dendrogram interpretation
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 …
How to interpret a hierarchical clustering dendrogram?
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 …
How to interpret dendrogram height for clustering by correlation
How to interpret dendrogram height for clustering by correlation Ask Question Asked 11 years, 7 months ago Modified 8 years, 6 months ago
Purpose of dendrogram and hierarchical clustering
Sep 3, 2016 · You've mixed two separate questions in one. Your 1st Q is actually about hierarchical cluster analysis, not dendrogram. (It is possible to do the HCA and save a range …
hierarchical clustering - Interpretation of the height of a …
Feb 3, 2022 · Last doubt. Does the height of the dendrogram represent inter-cluster deviance (between two different clusters) or intra-cluster deviance (the deviance of points in a cluster)? I …
Choosing the right linkage method for hierarchical clustering
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 …
Plotting a heatmap given a dendrogram and a distance matrix in R
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?
How to automatically choose the optimal number of clusters for a ...
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 …