Dynamic Clustering Visualiser

Speed faster

Data parameters

Data geometry

Points 240

Noise 0.04

Spread 1.00

Seed

Clustering parameters

Method

Clusters / components 3

Fuzziness 2.00

eps 0.17

minPts 5

Min cluster size 16

Bandwidth 0.23

Linkage

Cut clusters 3

Graph neighbours 8

Show method mechanics

Show weak membership where available

k-means

Choose k centres. Assign each point to its nearest centre. Move each centre to the mean of the points assigned to it. Repeat until stable.

Current step

Press Step: each point chooses its nearest centre.