How to impose euclidean distance as the "cut-off" distance in cluster function
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Hi,
I am trying to use the matlab clustering set of functions to cluster a set of points in 3D based on their euclidean distances with a certain cut-off. I would like to cluster those points that are within a specified cut-off distance from each other. As I understand the "cluster" function does not accept the euclidean distance cut-off and it only accepts the "inconsistency coefficient" as the cut-off. I wonder if there are any workarounds for this problem. I appreciate your comments/suggestions.
Thanks,
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