i , I have a simple question I want to find the distance between clusters
I have a cluster data set
date cluster_id number
11/30/2000 1 7
12/31/2000 1 8
11/30/2000 2 6
12/31/2000 2 5
etc
Potentially 100 cluster_ids
I want to compute the euclidean distance between each cluster
for all dates and all cluster_ids
dist_i_j = sum(( number i - number j )^2)
The final output should look like
cluster_id with_cluster_id dist_i_j
1 2 10
2 1 10
I get the 10 finding the distance across all dates (in this example 2).
10 = (7-6)^2 + (8-5)^2 = 1+9 = 10
Thanks so much for your help!
Your distance measure is squared euclidean distance by cluster joining by date.
I think proc distance or proc corr could be used or proc fastclus. There's always SQL.
proc distance will work with a few extra steps.
How many clusters are you likely to have, will you know that ahead of time or is it dynamic?
Thanks Reeza. yes the number of clusters is known before hand in the cluster data set
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