[GRASS-dev] i.gensiget: "Unreliable clustering. Try a smaller initial number of clusters"

[Nikos Alexandris]

Nikos Alexandris wrote:
> > It was a (quick) test only, I remember: created 3 sets of random points
> > (some
> > MASKed region, thus no NULL pixels included), buffered them to rational
> > radiuses, labeled them (one 'val' for each set), grouped them, fed
> > i.gensigset.

Moritz Lennert wrote:
> This might explain the issue ("unrelable clustering"): if your random
> buffer areas are not real training areas representing specific homogenous
> types of spectral responses, but completely random collections of spectral
> signatures, how could any reliable generation of significanly
> distinguished classes be achieved ?
> 
> You have to use training areas that actually have a meaning, i.e. be
> representative of the different classes you wish to identify.

Yes, maybe. Note(d), I ran the same test-process in "spearfish60" where it 
worked fine -- luck?

Nikos