Perform a k-means clustering (with 3 clusters) of the one-dimensional set of points $1,1,2,3,4,7,8,8,12,14,16,21,22,24$ and with the inital point $=2$
To start I would select $3$ centroids that are as far away from one another as possible, e.g. $c_{1}=1, c_{2}=8, c_{3}=24$ and then calculate the distance from each point to each centroid. I would then assign each point to the cluster for which it is nearest to the centroid.
However I don't know what the question means by inital point $=2$?
It means you should run the K-Means algorithm and set all 3 initial centroids centers to be 2.