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K means clustering

Matheus Gonçalves edited this page Aug 29, 2017 · 1 revision

Description

Uses K-Means algorithm for clustering

Options

Label Description Type Required
Number of clusters (K) Number of clusters (K) INTEGER true
Tolerance Convergency tolerance for the within-cluster sums of point-to-centroid distances. FLOAT false
Type Type TEXT true
Init mode How to generate initial centroids TEXT true
Max iterations Max iterations INTEGER true

Inputs

Label Description Multiplicity

Outputs

Label Description Multiplicity
Algorithm Untrained clustering model One

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Technical Information

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