AI engineering glossary · Classical ML algorithms
What is clustering?
Clustering: An unsupervised task of grouping items so that those in the same group are more alike than those in different groups, with no labels provided. It is used for segmentation, exploration and summarising data.
Clustering: an example
Grouping 1 lakh telecom customers into segments by usage without knowing segments beforehand.
Related terms
More Classical ML algorithms terms
- Conditional independence
- Confidence
- DBSCAN
- Decision boundary
- Decision stump
- Decision tree
- Dendrogram
- Dimensionality reduction
Where you learn it
Clustering is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.