easy5 pts · first answer countsclustering

What k-means minimises

What objective does the k-means algorithm try to minimise?

A.The number of clusters neededB.Squared distance from points to their cluster centroidC.The distance between all pairs of centroidsD.Classification error against the true labels

Discussion 0

Join free to post in the discussion.

What k-means minimises

Discussion 0

Related questions