search

Nikronic / K-MCI

This is an implementation of K-MCI algorithm in python.
Apache License 2.0
4 stars 0 forks source link

Getting all necessary variables for Candidate parametrs as Kmean fit #8

Closed Nikronic closed 6 years ago

Nikronic commented 6 years ago

When using Kmean, we can get fitness, centers and clusters. These three variable are necessary for Candidate class and we should assign all of them to each candidate at the same time of fitting Kmeans model.

hamed-faraji commented 6 years ago

yes but you didn't assign labels(clusters) I added labels to object features for the sum of squares in mutation function. you were saving labels as a different array. I think this added feature on the object makes it easy to process data.

Nikronic commented 6 years ago

Yes exactly I forgot. Thanks alot