FarthestFirst (3.7)

Learner

Cluster data using the FarthestFirst algorithm. For more information see: Hochbaum, Shmoys (1985)

A best possible heuristic for the k-center problem.Mathematics of Operations Research.

10(2):180-184.

Sanjoy Dasgupta: Performance Guarantees for Hierarchical Clustering.In: 15th Annual Conference on Computational Learning Theory, 351-363, 2002.

Notes:

- works as a fast simple approximate clusterer- modelled after SimpleKMeans, might be a useful initializer for it

(based on WEKA 3.7)

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Input Ports

  1. Type: Data Training data

Output Ports

  1. Type: Weka 3.7 Cluster Trained model

Find here

Analytics > Mining > Weka > Weka (3.7) > Cluster Algorithms

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