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Implement the K-means clustering algorithm #22

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novoselrok opened this issue Jun 5, 2018 · 2 comments
Open

Implement the K-means clustering algorithm #22

novoselrok opened this issue Jun 5, 2018 · 2 comments
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enhancement New feature or request help wanted Extra attention is needed

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@novoselrok
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Add k-means[1] clustering to doddle-model.

  • Select the algorithm implementation (Lloyd's, Hartigan-Wong, ...)
  • Implement initialisation methods (Random, k-means++)
  • Include parallelization

[1] https://en.wikipedia.org/wiki/K-means_clustering

@inejc inejc added the enhancement New feature or request label Jun 8, 2018
@inejc
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inejc commented Jun 9, 2018

scikit-learn uses Lloyd's algorithm with k-means++ initialization and caching + the triangle inequality. Based on Wikipedia, Hartigan-Wong's method is more sophisticated and more computationally expensive. Will look more into this.

@Kamuzeriz
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K++

@novoselrok novoselrok mentioned this issue Jun 19, 2018
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@inejc inejc added the help wanted Extra attention is needed label Dec 1, 2018
@inejc inejc changed the title K-means clustering Implement the K-means clustering algorithm Dec 1, 2018
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Labels
enhancement New feature or request help wanted Extra attention is needed
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