This function creates a matrix of values, where the ith column represents which observations belong in which clusters given you have i clusters.
The result of applying hclust() to your data.
The number of observations in your original data; this is also the maximum number of clusters that can be made with your data.
This is one of a few functions created by Joe Cauteruccio, Jessie Li, Andrew West of Yale University that are used together to create the hclust_eval() function.
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