If you have a guess at how many clusters you want you could take the total area of the space and divide by the number of clusters to get an initial guess of T2 or T1. That might work to get you started, depending on the distribution.

On 04/27/2011 12:39 PM, Camilo Lopez wrote:
I'm using Canopy as first step for K-means clustering, is there any 
algorithmic, or even a good heuristic to estimate good T1 and T2 from the 
vectorized data?

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