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pass to last version of extension, fixing a couple of issues (including README.qmd related issues)
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‎.gitignore‎

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/.quarto/
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# R and co
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.Rhistory
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.Rprofile
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.Rapp.history
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.RData
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.Ruserdata
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*.Rproj
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.Rproj.user
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.Rproj.user/
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/*.Rcheck/
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renv/
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# Python and co
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_environment
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/.micromamba/
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/.joblib
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/_extensions/
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*.html
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*.ipynb
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*.tex
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*_files/
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.jupyter_cache/
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/.luarc.json
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/.micromamba
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_site/
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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/.pytest_cache/
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scripts/__pycache__/
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Quarto tmp files
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/.quarto/
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/*_files
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/*_cache
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/_freeze
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_site/
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/cache/
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Quarto extension files
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_extensions/
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logo_text_white.pdf
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logo_notext_white.png
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# Translations
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*.mo
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*.pot
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# Quarto output files
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main.pdf
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main.html
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main.ipynb
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main.tex
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# Django stuff:
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# Latex compilation files
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*.aux
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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*.toc
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Various system files
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DS_Store
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/.luarc.json
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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/*.pdf
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**/*.quarto_ipynb

‎README.md‎

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# Visualizing Data using t-SNE (mock contributon)
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# Visualizing Data using t-SNE (mock contribution)
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Laurens van der Maaten, Geoffrey Hinton
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2008-08-11
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[![build and
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[![DOI:10.57750/xxxxxx](https://img.shields.io/badge/DOI-10.57750/xxxxxx-034E79.svg)](https://doi.org/10.57750/xxxxxx)
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[![DOI:10.57750/xxx-xxx](https://img.shields.io/badge/DOI-10.57750%2Fxxx--xxx-034E79.svg)](https://doi.org/10.57750/xxx-xxx)
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[![Creative Commons
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License](https://i.creativecommons.org/l/by/4.0/80x15.png)](http://creativecommons.org/licenses/by/4.0/)
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<!-- [![reviews](https://img.shields.io/badge/review-report-blue)](https://github.com/computorg/published-paper-tsne-R/issues?q=is%3Aopen+is%3Aissue+label%3Areview) -->
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### Authors
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- [Laurens van der Maaten](https://lvdmaaten.github.io/) (TiCC, Tilburg
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University)
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- [Geoffrey Hinton](https://www.cs.toronto.edu/~hinton/) (Department of
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Computer Science, University of Toronto)
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- [Laurens van der Maaten](https://lvdmaaten.github.io/) (TiCC, Tilburg University)
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- [Geoffrey Hinton](https://www.cs.toronto.edu/~hinton/) (Department of Computer Science, University of Toronto)
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### Abstract
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visualization produced by t-SNE are significantly better than those
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produced by other techniques on almost all of the data sets.
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<div id="refs" class="references csl-bib-body hanging-indent"
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entry-spacing="0">
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<div id="refs" class="references csl-bib-body hanging-indent">
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<div id="ref-hinton:stochastic" class="csl-entry">
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Hinton, Geoffrey E, and Sam Roweis. 2003. “Stochastic Neighbor
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Embedding.” In *Advances in Neural Information Processing Systems*,
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edited by S. Becker, S. Thrun, and K. Obermayer. Vol. 15. MIT Press.
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edited by S. Becker, S. Thrun, and K. Obermayer, vol. 15. MIT Press.
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<https://proceedings.neurips.cc/paper/2002/file/6150ccc6069bea6b5716254057a194ef-Paper.pdf>.
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</div>

‎README.qmd‎

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_{{< meta description >}}_
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[![build and publish](https://github.com/{{< meta github-user >}}/{{< meta repo >}}/actions/workflows/build.yml/badge.svg)](https://github.com/{{< meta github-user >}}/{{< meta repo >}}/actions/workflows/build.yml)
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[![DOI:{{< meta citation.doi >}}](https://img.shields.io/badge/DOI-{{< meta citation.doi >}}-034E79.svg)](https://doi.org/{{< meta citation.doi >}})
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[![DOI:{{< meta citation.doi >}}](https://img.shields.io/badge/DOI-{{< shields-encode citation.doi >}}-034E79.svg)](https://doi.org/{{< meta citation.doi >}})
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[![Creative Commons License](https://i.creativecommons.org/l/by/4.0/80x15.png)](http://creativecommons.org/licenses/by/4.0/)
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<!-- [![reviews](https://img.shields.io/badge/review-report-blue)](https://github.com/{{< meta github-user >}}/{{< meta repo >}}/issues?q=is%3Aopen+is%3Aissue+label%3Areview) -->
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### Authors
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- [{{< meta by-author.1.name.literal >}}]({{< meta by-author.1.url >}}) ({{< meta by-affiliation.1.name >}})
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- [{{< meta by-author.2.name.literal >}}]({{< meta by-author.2.url >}}) ({{< meta by-affiliation.2.name >}})
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{{< author-list >}}
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### Abstract
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‎_quarto.yml‎

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project:
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type: default
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render:
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- published-paper-tsne.qmd
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- main.qmd
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- README.qmd
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title: "Visualizing Data using t-SNE (mock contribution)"
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date-modified: last-modified
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description: |
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This page is a reworking of the original t-SNE article using the Computo template. It aims to help authors submitting to the journal by using some advanced formatting features. We warmly thank the authors of t-SNE and the editor of JMLR for allowing us to use their work to illustrate the Computo spirit.
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license: "CC BY"
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author:
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- name: Laurens van der Maaten
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url: https://lvdmaaten.github.io/
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bibliography: references.bib
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github-user: computorg
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repo: "published-paper-tsne-R"
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draft: false
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published: true
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status: published
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citation:
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type: article-journal
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container-title: "Computo"
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doi: "10.57750/xxxxxx"
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doi: "10.57750/xxx-xxx"
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publisher: "French Statistical Society"
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issn: "2824-7795"
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url: "https://computo-journal.org/published-paper-tsne/"
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format:
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computo-html: default

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