data types (point, chromosome, center), mock random util (need to
implement some random generation of chromosomes, points etc), classifier
with fittness impl (so basically nothing what works, but needed to
commit, because i'm switching workstation)

TODO:
1) impl compute distance using unknown distance function (in classifier)
2) impl classify (basically - for all chromosomes in pop compute
fittness, - choose some better fraction determined by fitness function
-evaluate new population -mutate) in some for loop from 0 to iter or
other stop condition
3) impl class with defined specific cross/mutate/distance and function
running different classifiers defined by combination of those
cross/mutate/distance
4) plug that to io part (reading /writing pisc)
renamed one class, added some comments

-so for now plan is to finish classify impl (next steps in comments in
Classifier class)
-impl simple cross/mutate/fitness (guess simpler is k-mean)
-plug it to some real data
-test if ti works

then implement other mutations/crosses/fitnesses