Question

K Means algorithm assumes Eucledian Space/Distance.True/false

Answer 1

true..

i hope it help u

Answer 2

K mean is based on the Euclidean distances that are in an implicit manner between the data points.

This is mainly as the sum of all the squared deviations measured from the centroid is equivalent to the total sum of the squared Euclidean distances (pairwise) completely divided by the number of the existing points.

This signifies that K Means is simply for the Euclidean distances.