research data . Dataset . 2018

Synthetic Dataset For Outlier Detection

Koncar, Philipp;
Open Access
  • Published: 11 Feb 2018
  • Publisher: Zenodo
Abstract
<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> <ul> <li>Attribute 0 &amp; Attribute&nbsp;1: Two circular clusters</li> <li>Attribute&nbsp;2 &amp; Attribute&nbsp;3: Two banana shaped clusters</li> <li>Attribute&nbsp;4 &amp; Attribute&nbsp;5: Three point clouds</li> <li>Attribute&nbsp;6 &amp; Attribute&nbsp;7: Two point clouds with variances</li> <li>Attribute&nbsp;8 &amp; Attribute&nbsp;9: Three anisotropic shaped clusters.&nbsp;</li> </ul> <p>The &quo...
Subjects
free text keywords: outlier detection, synthetic, Biochemistry, Sociology, Developmental Biology, Science Policy, Plant Biology, 19999 Mathematical Sciences not elsewhere classified
Communities
Science and Innovation Policy Studies
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Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2018
Provider: Datacite
Zenodo
Dataset . 2018
Provider: Zenodo
figshare
Dataset . 2018
Provider: figshare
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