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I've been playing with K-Means the last few days and found some clusters with some data I'm interested in, which is great! I'd love to be able to rank the members of the clusters I am interested in by distance from the cluster center.
It doesn't look like the data available in the Cluster type offers the ability to do that. Is there something I'm missing? I see that there is a vector for the center of the cluster. I think the piece that I am missing are vectors for each member. I think if I had that, I could then do something like a Euclidian distance calculation to determine the ranking that I want. Does this sound like the right path?
Any thoughts are certainly appreciated!
The text was updated successfully, but these errors were encountered:
I've been playing with K-Means the last few days and found some clusters with some data I'm interested in, which is great! I'd love to be able to rank the members of the clusters I am interested in by distance from the cluster center.
It doesn't look like the data available in the Cluster type offers the ability to do that. Is there something I'm missing? I see that there is a vector for the center of the cluster. I think the piece that I am missing are vectors for each member. I think if I had that, I could then do something like a Euclidian distance calculation to determine the ranking that I want. Does this sound like the right path?
Any thoughts are certainly appreciated!
The text was updated successfully, but these errors were encountered: