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Code for GP-tSNE, IEEE Trans Cyb 2020.

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gptsne

Rough usage (from the src/ directory):
python3 -m gptsne.gptsne_mo --help
e.g. python3 -m gptsne.gptsne_mo -d COIL20 --dir "datasets/"

  • Datasets used in the paper are in datasets/
  • Add your own datasets in csv format, with a header line:
    Header: classPosition,#features,#classes,seperator. e.g.
    classLast,1024,20,comma (from COIL20.data)
  • Most GP parameters are configured in gpptsne/tsnedata.py

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Code for GP-tSNE, IEEE Trans Cyb 2020.

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