Hello everyone. I am working on the modularisation of
the legacy ml.clustering package to a new module:
commons-math-clustering. Some clustering classes
depend on stat.moment.Variance and some of
the ml.distance classes.
1--those distances belong to geometry probably and
not machine learning. Manhattan distance, for example.
2--should I move the distance package to the new
clustering module so that they are together or create a new
commons-math-distance module? Or put the distance classes
in the commons-math-geometry project?
