Hi everyone,
I'm looking for an R code for agglomerative clustering for one of my research. Basically, I need to know what happened inside hclust method in R. I have looked everywhere but don't find a proper way to combine 2 data points that have the smallest distance. I was stuck at developing a dissimilarity matrix after the first phase of dissimilarity matrix generation(literally I have generated the first dissimilarity matrix). If anyone could give me a reasonable solution in any language I would gratefully accept that.
Thank you.
Check these it might help.
https://rpubs.com/skydome20/98005
https://www.r-bloggers.com/2017/12/how-to-perform-hierarchical-clustering-using-r/
https://uc-r.github.io/hc_clustering
https://uc-r.github.io/hc_clustering
Good luck
Maybe, the link will helpful for you. https://www.datacamp.com/community/tutorials/hierarchical-clustering-R
You may follow such example https://towardsdatascience.com/machine-learning-algorithms-part-12-hierarchical-agglomerative-clustering-example-in-python-1e18e0075019
https://www.geeksforgeeks.org/implementing-agglomerative-clustering-using-sklearn/
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