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ivis: dimensionality reduction in very large datasets using Siamese Networks

Ignat Drozdov; Benjamin Szubert


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3361500", 
  "title": "ivis: dimensionality reduction in very large datasets using Siamese Networks", 
  "issued": {
    "date-parts": [
      [
        2019, 
        8, 
        6
      ]
    ]
  }, 
  "abstract": "<p>This release introduces a number of new features into <code>ivis</code>:</p>\n\n<ul>\n\t<li>Windows support</li>\n\t<li>Code changes to support <code>ivis</code> on Python2</li>\n\t<li>R package received a major facelift - with big thanks to JOSS reviewers</li>\n\t<li>Added cosine distance metric in triplet loss function</li>\n\t<li>Minor bug fixes and performance improvements</li>\n</ul>", 
  "author": [
    {
      "family": "Ignat Drozdov"
    }, 
    {
      "family": "Benjamin Szubert"
    }
  ], 
  "version": "1.3.0", 
  "type": "article", 
  "id": "3361500"
}
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