- ...
are
- Consider, for instance, creating a model of the whole
world...
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... becomes
- A similar derivation for the cost
function for FVQ is given in
[3,7]. For simplicity, we
approximate the posterior probability of winners by the best vector
only. Without significant additional computational cost all the
winners could be taken into account. Individual variances for model
vectors could be included as well, and we plan to do this in the
future.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ...[6]
- We are
grateful to the PicSOM project members for kindly providing us with
the image data set.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
- ... weak
- This assumption has been made in [6]
prior to modeling each variable category with a different SOM.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.