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  1. 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 lines. The …

  2. 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 we could consider …

  3. 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

  4. Choosing the number of clusters in hierarchical agglomerative ...

    I decided to turn to Hierarchical Agglomeration Clustering since it doesn't require setting any parameters for clustering. I used R to perform HAC. Now to turn the resultant dendrogram into a number of …

  5. 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 centroid method the …

  6. 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 the k-means, with …

  7. 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?

  8. 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 identifying the …

  9. Comparing hierarchical clustering dendrograms obtained by different ...

    Jan 9, 2015 · $^1$ Later update on the problem of dendrogram of Wards 's method. Different clustering programs may output differently transformed aglomeration coefficients for Ward's method. Hence …

  10. 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 of cluster solutions …