Displaying 1 result from an estimated 1 matches for "6800036f".
Did you mean:
0000036f
2016 Jul 27
2
K MEANS clustering
Hey Parth,
Thanks for the reply.
I am considering implementing a cosine distance metric too, along with
euclidian distance because of the dimensionality issue that comes in with
K-Means and euclidian distance metric.
That does help when we deal with sparse vectors for documents. The
particular problem I'm having is representing centroids in an efficient way.
For example, when we find the mean