Explore how two powerful clustering algorithms handle different types of data. K-Means clusters by geometric distance (position), while Leiden discovers groups based on network connectivity (links). See which one wins across 12 diverse datasets!
Auto-discover Space vs Food from docs.txt
Match docs to Astronomy vs Cooking
Hardware vs Software tickets
Sports vs Finance news
Positive vs Negative sentiment
Bio, Physics, Space
IoT Device Commands
Air, Rail, Road, Sea
Politics, Tech, Sports, Entertainment, Health
6 categories, medium density
6 categories, heavy coverage
6 categories, massive volume
Raise the slider to create/add more links and see how clusters change.
Higher is better - measures cluster quality
Higher is better - measures cluster quality
Select a dataset to see the comparison...