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  1. How to interpret the dendrogram of a hierarchical cluster analysis

    The horizontal axis represents the clusters. 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 …

  2. How to interpret dendrogram height for clustering by correlation

    Which means that clustering stopped only in the final step, when the height finally goes above .5 (as the Dendogram had already pointed, BTW). Now, here is my question: how do I interpret the heights?

  3. clustering - Where to cut a dendrogram? - Cross Validated

    Hierarchical clustering can be represented by a dendrogram. 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

  4. hierarchical clustering - Interpretation of the height of a dendrogram ...

    Feb 3, 2022 · I am practicing hierarchical clustering and I am having doubts about the interpretation of dendrogram height. Let's take the code in example with points (1,1), (2,2), (5,5), (9,9), (10,10), and …

  5. 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 …

  6. How to automatically choose the optimal number of clusters for a ...

    May 16, 2023 · I mean I want code which returns a number, and that number is a reasonable choice for the number of clusters. I don't want a chart or anything which I need to manually interpret in order to …

  7. How to interpret a hierarchical clustering dendrogram?

    Mar 25, 2021 · Thanks for this, I didn't spot that I had left out my code for FF, will add that in. I can't give example data in this case, unfortunately - is there no reasoning from a theoretical perspective why …

  8. How does the coloring of dendrograms in SciPy work?

    Nov 13, 2020 · The default value of t from the documentation is 0.7*max(Z[:,2]) where Z is the linkage matrix that you pass to the dendrogram function. When you use different linkages, in your case ward …

  9. clustering - How to compare two dendrograms - Cross Validated

    May 3, 2023 · I want to find a method to compare two dendrograms. I have documents that were read by some people and they made a dendrogram that indicates which documents they think are more …

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

    Jan 9, 2015 · [The initial title "Measurement of similarity for hierarchical clustering trees" was later changed by @ttnphns to better reflect the topic] I am performing a number of hierarchical cluster …