Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding

Short Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding. Peluffo-Ordóñez, D. H., Lee, J. A., & Verleysen, M. In Villmann, T., Schleif, F., Kaden, M., & Lange, M., editors, Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014, volume 295, of Advances in Intelligent Systems and Computing, pages 65–74, 2014. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/wsom/Peluffo-OrdonezLV14,
  author       = {Diego Hern{\'{a}}n Peluffo{-}Ord{\'{o}}{\~{n}}ez and
                  John Aldo Lee and
                  Michel Verleysen},
  editor       = {Thomas Villmann and
                  Frank{-}Michael Schleif and
                  Marika Kaden and
                  Mandy Lange},
  title        = {Short Review of Dimensionality Reduction Methods Based on Stochastic
                  Neighbour Embedding},
  booktitle    = {Advances in Self-Organizing Maps and Learning Vector Quantization
                  - Proceedings of the 10th International Workshop, {WSOM} 2014, Mittweida,
                  Germany, July, 2-4, 2014},
  series       = {Advances in Intelligent Systems and Computing},
  volume       = {295},
  pages        = {65--74},
  publisher    = {Springer},
  year         = {2014},
  url          = {https://doi.org/10.1007/978-3-319-07695-9\_6},
  doi          = {10.1007/978-3-319-07695-9\_6},
  timestamp    = {Mon, 26 Jun 2023 20:48:50 +0200},
  biburl       = {https://dblp.org/rec/conf/wsom/Peluffo-OrdonezLV14.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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