Hi guys,

I'm new to Spark & MLlib and this may be a dumb question, but still....

As part of my M.Sc project, i'm working on implementation of Fuzzy C-means
(FCM) algorithm in MLlib.
FCM has many things in common with K - Means algorithm, which is already
implemented,  and I wanted to know whether should I create some inheritance
between them (some base class that would hold all the common stuff).

I could not find an answer to that in the "Spark Coding Guide"
(https://cwiki.apache.org/confluence/display/SPARK/Spark+Code+Style+Guide)


Appreciate your help

thanks,
Alex 




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