{"url":"/dataset/ionosphere","name":"ionosphere","full_name":null,"description_markdown":"The original ionosphere dataset from UCI machine learning repository is a binary classification dataset with dimensionality 34. There is one attribute having values all zeros, which is discarded. So the total number of dimensions are 33. The ‘bad’ class is considered as outliers class and the ‘good’ class as inliers.","description_withheld":null,"homepage":"http://odds.cs.stonybrook.edu/ionosphere-dataset/","introduced_date":"2008-12-15","introduced_date_note":null,"introduced_by":{"paper":"/paper/isolation-forest","title":"Isolation forest","first_author":"Fei Tony Liu","url":null},"license":null,"modalities":[],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Clustering Algorithms Evaluation","url":"/task/clustering-algorithms-evaluation","datasets_with_task":"/datasets/task/clustering-algorithms-evaluation"},{"name":"Clustering Ensemble","url":"/task/clustering-ensemble","datasets_with_task":"/datasets/task/clustering-ensemble"}],"languages":[],"variants":["ionosphere"],"data_loaders":[],"num_papers_in_archive":67,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/clustering-algorithms-evaluation-on","task":"Clustering Algorithms Evaluation","dataset_variant":"ionosphere","rows":1,"metrics":["Purity"],"first_row_in_archive_order":{"model":"CVDD","paper":"/paper/an-internal-validity-index-based-on-density","metrics":{"Purity":"0.843"},"code_links":[{"title":"hulianyu/CVDD","url":"https://github.com/hulianyu/CVDD"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/clustering-ensemble-on-ionosphere","task":"Clustering Ensemble","dataset_variant":"ionosphere","rows":1,"metrics":["Purity"],"first_row_in_archive_order":{"model":"NegMM","paper":"/paper/ensemble-clustering-based-on-evidence","metrics":{"Purity":"0.83"},"code_links":[{"title":"zhongcaiming/clustering-ensemble","url":"https://github.com/zhongcaiming/clustering-ensemble"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/ensemble-clustering-based-on-evidence","title":"Ensemble clustering based on evidence extracted from the co-association matrix","date":"2019-08-01","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/an-internal-validity-index-based-on-density","title":"An Internal Validity Index Based on Density-Involved Distance","date":"2019-03-22","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}