How k-means clustering works?

K-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. Algorithm Steps: Step 1: First decide the no of clusters (let suppose k clusters we want to create) Step 2: Randomly assign centres to these k clusters Step 3: Calculate the distance of remaining data points with these k clusters[…]

Glance at World Using Data Visualization

Data visualization is the presentation of data in a pictorial or graphical format. Visual representations like charts and maps help us to understand information more easily and quickly. It helps people to see what was not obvious by seeing the data only. Visualization conveys information in a universal manner and makes it simple to share[…]