Data Science/Theory & Notes/Clustering

Theory made simple · note 10 of 16

Clustering

AdvancedClusteringScienceAdvanced

What it means

Clustering puts similar records into groups without being given the group names first.

Why it matters

It gives you one reliable building block for doing Data Science work correctly and explaining it to someone else.

Tiny example

Imagine a science task as a small recipe. Clustering is one named step in that recipe, with a clear input and result.

Remember this

Say it simply: “I use Clustering to move from a question to a checked result.”