K-Means clustering is a popular technique to find clusters of data based only on the data itself. This is most commonly applied to data that you can somehow describe as a series of numbers.

When you can describe the data points as a series of numbers, K-Means clustering (Lloyd’s Algorithm) takes the following steps:
- Randomly pick a set of group representatives. Lloyd’s algorithm generally picks random coordinates, …


