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Clustering Method Comparison : Hierarchical vs Latent Class Analysis in R programming

I am applying hclust for hierarchical clustering in R and poLCA for latent class analysis on a data set. I need to make a comparison on both clustering method analysis by numerical and pictorial representation.

Can someone suggest the method to check homogeneity and heterogeneity of above clustering methods?

There is a package called clValid that may help you.

Here is the paper: https://cran.r-project.org/web/packages/clValid/vignettes/clValid.pdf

Here is the r documentation: https://cran.r-project.org/web/packages/clValid/clValid.pdf

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