K-means Segmentation
Segment colors using K-means clustering
Number of clusters
Number of clusters
name: n-clusters
type: int
default: 5
minimum: 2
maximum: 255
ui-minimum: 2
ui-maximum: 30
ui-gamma: 1.00
ui-step-small: 1
ui-step-big: 5
Max. Iterations
Maximum number of iterations
name: max-iterations
type: int
default: 5
minimum: 1
maximum: +inf
ui-minimum: 1
ui-maximum: 30
ui-gamma: 1.00
ui-step-small: 1
ui-step-big: 5
Random seed
name: seed
type: seed
pads: input output
parent-class: GeglOperationFilter
categories: color segmentation
operation-class: À÷)
