Glossary term
Glossary term
Foundations
A category of clustering algorithms that organizes data into nonhierarchical clusters. k-means is the most widely used centroid-based clustering algorithm.
Contrast with hierarchical clustering algorithms.
See Clustering algorithms in the Clustering course for more information.
Created for this library
A marketing analytics team uses centroid-based clustering with k-means to group customers into segments by lifetime spend and engagement.
A retail operations team uses centroid-based clustering to group stores by traffic patterns for staffing decisions.
A telco analytics team uses centroid-based clustering on call detail records to find typical usage patterns and design tariff plans for each.
Definition source: Google for Developers Machine Learning Glossary | Creative Commons Attribution 4.0 License