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Hierarchical cluster analysis is a method of cluster analysis which builds, by steps, a hierarchy of clusters, a dendrogram. Most popular is agglomerative hierarchical clustering (HAC) which starts from individual objects and collects them into bigger and bigger clusters.

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Does it make sense to use variables' product as a new variable in a clustering procedure?

I'm trying to separate different groups based on values from width and length using k-means and hierarchical clustering. My question relates to the possibility of using the area — measured as width * …
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