Benchmarking in cluster analysis: A white paper

@inproceedings{Mechelen2018BenchmarkingIC,
  title={Benchmarking in cluster analysis: A white paper},
  author={Iven Van Mechelen and Anne-Laure Boulesteix and Rainer Dangl and Nema Dean and Isabelle Guyon and Christian Hennig and Friedrich Leisch and Douglas Steinley},
  year={2018}
}
To achieve scientific progress in terms of building a cumulative body of knowledge, careful attention to benchmarking is of the utmost importance. This means that proposals of new methods of data pre-processing, new data-analytic techniques, and new methods of output post-processing, should be extensively and carefully compared with existing alternatives, and that existing methods should be subjected to neutral comparison studies. To date, benchmarking and recommendations for benchmarking have… CONTINUE READING

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