Open Access
Issue
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
Article Number 10002
Number of page(s) 5
Section Bio & Human Engineering
DOI https://doi.org/10.1051/matecconf/201818910002
Published online 10 August 2018
  1. Torgerson W.S., 1952. Multidimensional scaling: 1. Theory and method. Psychometrika, 17: 401-419. [CrossRef] [Google Scholar]
  2. Sammon, J.W., 1969. A nonlinear mapping for data structure analysis, IEEE Trans. Comput., vol. C-18, no. 5, pp. 401–409. [NASA ADS] [CrossRef] [Google Scholar]
  3. Demartines, P., Hérault J., 1997. Curvilinear component analysis: A selforganizing neural network for nonlinear mapping of data sets, IEEE Trans. Neural Netw., vol. 8, no. 1, pp. 148–154. [CrossRef] [Google Scholar]
  4. Tenenbaum, J.B., De Silva, V., Langford, J.C., 2000. A global geometric framework for nonlinear dimensionality reduction. Science, 290: 2319-2323. [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  5. Roweis, S. T., & Saul, L. K., 2000. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500), 2323-2326. [Google Scholar]
  6. Venna J., Kaski S., 2006. Local multidimensional scaling, Neural Networks, vol. 19, no. 6-7, pp. 889-899. [CrossRef] [Google Scholar]
  7. Lespinats, S., Verleysen, M., Giron, A., Fertil, B., 2007. DD-HDS: a tool for visualization and exploration of highdimensional data, IEEE Trans. Neural Netw., vol. 18, no. 5, pp. 1265-1279. [CrossRef] [Google Scholar]
  8. Hinton, G., Roweis, S., 2002. Stochastic neighbor embedding, in: NIPS, vol. 15, pp. 833–840. [Google Scholar]
  9. Van der Maaten, L., & Hinton, G., 2008. Visualizing data using t-SNE. Journal of Machine Learning Research, 9(2579-2605), 85. [Google Scholar]
  10. Venna, J., Peltonen, J., Nybo, K., Aidos, H., & Kaski, S. (2010). Information retrieval perspective to nonlinear dimensionality reduction for data visualization. Journal of Machine Learning Research, 11(Feb), 451-490. [Google Scholar]
  11. Onclinx, V., Lee, J. A., Wertz, V., Verleysen, M., 2010. Dimensionality reduction by rank preservation. In Neural Networks (IJCNN), The 2010 International Joint Conference on (pp. 1-8). IEEE. [Google Scholar]
  12. Walter, J.A., 2004. H-MDS: a new approach for interactive visualization with multidimensional scaling in the hyperbolic space. Information systems, 29(4), 273-292. [CrossRef] [Google Scholar]
  13. Lespinats, S., Fertil, B. (2011) “A color code to accurately account for taxonomic classification.” Evolutionary Bioinformatics 2011:7 257-270. [Google Scholar]
  14. Jung, H., 1901. "Über die kleinste Kugel, die eine räumliche Figur einschließt". J. Reine Angew. Math. 123: 241–257. [Google Scholar]

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