Dataset Open Access

Synthetic Dataset for Outlier Detection

Koncar, Philipp

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  "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&nbsp;labeled as outliers. Two-dimensional combinations of attributes form differently shaped clusters.</p>\n\n<ul>\n\t<li>Attribute 0 &amp; Attribute&nbsp;1: Two circular clusters</li>\n\t<li>Attribute&nbsp;2 &amp; Attribute&nbsp;3: Two banana shaped clusters</li>\n\t<li>Attribute&nbsp;4 &amp; Attribute&nbsp;5: Three point clouds</li>\n\t<li>Attribute&nbsp;6 &amp; Attribute&nbsp;7: Two point clouds with variances</li>\n\t<li>Attribute&nbsp;8 &amp; Attribute&nbsp;9: Three anisotropic shaped clusters.&nbsp;</li>\n</ul>\n\n<p>The &quot;outlier&quot; 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": "", 
  "creator": [
      "affiliation": "", 
      "@type": "Person", 
      "name": "Koncar, Philipp"
  "url": "", 
  "datePublished": "2018-02-11", 
  "version": "1.0", 
  "keywords": [
    "outlier detection", 
  "@context": "", 
  "distribution": [
      "contentUrl": "", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
  "identifier": "", 
  "@id": "", 
  "@type": "Dataset", 
  "name": "Synthetic Dataset for Outlier Detection"
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