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Machine Learning with WEKA

Machine Learning with WEKA. Explorer: clustering data. WEKA contains “clusterers” for finding groups of similar instances in a dataset Implemented schemes are: k -Means, EM, Cobweb, X -means, FarthestFirst Clusters can be visualized and compared to “true” clusters (if given)

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Machine Learning with WEKA

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  1. Machine Learning with WEKA

  2. Explorer: clustering data • WEKA contains “clusterers” for finding groups of similar instances in a dataset • Implemented schemes are: • k-Means, EM, Cobweb, X-means, FarthestFirst • Clusters can be visualized and compared to “true” clusters (if given) • Evaluation based on loglikelihood if clustering scheme produces a probability distribution University of Waikato

  3. University of Waikato

  4. University of Waikato

  5. University of Waikato

  6. University of Waikato

  7. University of Waikato

  8. University of Waikato

  9. University of Waikato

  10. University of Waikato

  11. University of Waikato

  12. University of Waikato

  13. University of Waikato

  14. University of Waikato

  15. University of Waikato

  16. University of Waikato

  17. University of Waikato

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