SLIDE 3
- E. Boros, G.Felici Boolean Seminar, Liblice, April 2013
3
Binarization of real valued data Each real valued dimension is mapped into a set of intervals, to achieve:
- Control of noise effect
- Simplification of separating rules
- Use of for models in logic form
Binarizion is very important: is at the top of the analysis hierarchy For the i-th coordinate, define a set of cutponts
Ti = {ti1,ti2, …, ti,ki}, tij < ti,j+1
Define binary zij, j = 1,…, ki associated with Ti where
zij = 1 if tij-1 xi tij 0 otherwise
A binarization induces a set of boxes B in the space of S, each defined by the interserction of the subspaces parallel to the axes that intersect the cutpoints. With proper assumptions and bounding on the cutpoint sets, each box is closed and the set