Clustering is method for creating or finding groups. Imagine you’re at a party with your friends, you will naturally start forming smaller groups based on shared interests. For instance, those who enjoy sports might gather together, while those interested in music might gather in another. This process of grouping based on commonalities makes socializing and interacting much easier and more enjoyable.
Clustering is a bit like this above example, but it happens within datasets. Just as friends who like the same activities naturally stick together toward each other, clustering algorithms group data points together based on certain features they share.
This is tremendously useful because it allows us to uncover patterns and relationships that might not be immediately obvious.
Clustering is big area of study with several techniques and applications. Its impact in the real world is immense and every student of Data Science must explore this topic.
In this activity we will do a simple activity to illustrate clustering