Share 'Steps to calculate centroids in cluster using K-means clustering algorithm'
In this blog I will go a bit more in detail about the K-means method and explain how we can calculate the distance between centroid and data points to form a cluster.
Consider the below data set which has the values of the data points on a particular graph.
We can randomly choose two initial points as the centroids and from there we can start calculating distance of each point.
You can share this blog post in two ways…
Share this link:
Send it with your computer's email program: Email this