I am trying to understand whether I can use hierarchical coefficients obtained on different methods. I got agglomerative coefficients for methods like: "single", "complete", "ward", "average". I also got a divise coefficient as well. Questions: I believe the higher the cluster coefficient the better? And that leads to picking the best agglomerative coefficient with the best method? I got the highest coefficient for ward method. Is the divisive coefficient comparable with agglomerative coefficient? agglomerative coefficient gave me 0.77 and divisive coefficient gave me the 0.74. I picked the agglerative coefficient - ward method as I this has found a better as the amount of clustering found is higher compared to the divisive one. Does someone has an idea about this ?

how to use the hierarchical coefficients?

Data Science Asked on January 1, 2021

I am trying to understand whether I can use hierarchical coefficients obtained on different methods.

I got agglomerative coefficients for methods like: "single", "complete", "ward", "average". I also got a divise coefficient as well.

Questions:

I believe the higher the cluster coefficient the better? And that leads to picking the best agglomerative coefficient with the best method? I got the highest coefficient for ward method.
Is the divisive coefficient comparable with agglomerative coefficient? agglomerative coefficient gave me 0.77 and divisive coefficient gave me the 0.74. I picked the agglerative coefficient – ward method as I this has found a better as the amount of clustering found is higher compared to the divisive one.

Does someone has an idea about this ?

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