Dataset Open Access
Koncar, Philipp
{ "description": "<p>This synthetically generated dataset can be used to evaluate outlier detection algorithms. It has 10 attributes and 1000 observations, of which 100 are labeled as outliers. Two-dimensional combinations of attributes form differently shaped clusters.</p>\n\n<ul>\n\t<li>Attribute 0 & Attribute 1: Two circular clusters</li>\n\t<li>Attribute 2 & Attribute 3: Two banana shaped clusters</li>\n\t<li>Attribute 4 & Attribute 5: Three point clouds</li>\n\t<li>Attribute 6 & Attribute 7: Two point clouds with variances</li>\n\t<li>Attribute 8 & Attribute 9: Three anisotropic shaped clusters. </li>\n</ul>\n\n<p>The "outlier" column states whether an observation is an outlier or not. Additionally, the .zip file contains 10 stratified randomized train test splits (70% train, 30% test).</p>", "license": "http://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "", "@type": "Person", "name": "Koncar, Philipp" } ], "url": "https://zenodo.org/record/1171077", "datePublished": "2018-02-11", "version": "1.0", "keywords": [ "outlier detection", "synthetic" ], "@context": "https://schema.org/", "distribution": [ { "contentUrl": "https://zenodo.org/api/files/b0c11d63-67e4-494c-b9ad-46819b7cbe27/synthetic.zip", "@type": "DataDownload", "fileFormat": "zip" } ], "identifier": "https://doi.org/10.5281/zenodo.1171077", "@id": "https://doi.org/10.5281/zenodo.1171077", "@type": "Dataset", "name": "Synthetic Dataset for Outlier Detection" }
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Data volume | 135.4 MB | 135.4 MB |
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Unique downloads | 129 | 129 |