CLUSTERING-BENCHMARKS . GAGOLEWSKI . COM {}

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Keywords {🔍}

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Topics {✒️}

research papers/graduate theses author/editor/maintainer customised furo theme equally valid partitions equally valid/plausible/ literature references mentioned ground-truth partitions ground truth groupings data mining literature homepage data wrangling long time ago benchmarking clustering algorithms clustering results repository machine learning domains pinpoint grouping methods clustering algorithm evaluation regression problems included algorithm authors propose final similarity score cluster types cluster structure benchmark suites noise points //clustering-benchmarks benchmark datasets clustering algorithm file formats existing repositories machine learning note including clusters research purposes clustering harder evaluation rigorous single repository consistent methodology algorithm reproduced pypi entry python deep task types systematically disappointing common approach small number 5–10 test problems biased conclusions project aims proposed approach desired number subsequent sections provided solely

Questions {❓}

• The best score is reported (has or has not the algorithm reproduced at least one of the ground-truth partitions well?

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