I feel having t1/t2 closer to 0 means very similar instances and 1 mean no similarity. You could try with 0.1 and going on either side until you get satisfactory clusters.
Thanks Rajesh On Fri, Feb 1, 2013 at 4:59 PM, Chris Harrington <[email protected]> wrote: > Seems my lack of any clusters what so ever was my own fault, wasn't > pointing at the correct directory. > > Though I would still like to find some good material on this topic of > figuring out t1 and t2, is it just trial and error or are there specific > features of my data set that I can look at to infer at least marginally > good values as a starting point? > > > On 31 Jan 2013, at 22:37, Stefan Kreuzer wrote: > > > Hi Chris, > > > > I am also experimenting with CC. For me chosing CosineDistanceMeasure > and values very close to 1 (>0.96) with T2 being only a little smaller than > T1 led to reasonable values for k. Although this puzzles me too, I just > asked a another question because of this. > > > > > > -----Ursprüngliche Mitteilung----- > > Von: Chris Harrington <[email protected]> > > An: user <[email protected]> > > Verschickt: Do, 31 Jan 2013 7:22 pm > > Betreff: Figuring out good values for t1 and t2 for canopy > > > > > > Hi all, > > > > I'm trying to run canopy clustering before means and I can't seem to get > a value > > for t1 and t2 that give me any results. > > No matter what values I use it results in no clusters. > > > > This is probably due to a severe lack of knowledge on the subject on my > part so > > can anyone point me toward some good resources to read up on the topic of > > choosing a distance measure and a t1 and t2 for that measure? > > > > > > > > > >
