[1] DOCTOROW C. Welcome to the petacentre[J]. Nature, 2008, 455 (7209): 16-21. [2] REICHMAN O J, JONES M B, SCHILDHAUER M P. Challenges and opportunities of open data in ecology[J]. Science, 2011, 331(6018): 703-705. [3] 任磊,杜一,马帅,等.大数据可视分析综述[J].软件学报,2014,25(9):1909-1936. (REN L, DU Y, MA S, et al. Visual analytics towards big data[J]. Journal of Software, 2014, 25(9): 1909-1936.) [4] 郝晓军,闫京海,樊友谊.大数据分析过程中的降维方法[J].航天电子对抗,2014,30(4):58-60. (HAO X J, YAN J H, FAN Y Y. Dimensionality reduction of large volumes of data analysis[J]. Aerospace Electronic Warfare, 2014, 30(4):58-60.) [5] HOTELLING H. Analysis of a complex of statistical variables into principal components[J]. Journal of Education Psychology, 1933, 24(6): 417-441. [6] KRUSKAL J B. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis[J]. Psychometrika, 1964, 29(1): 1-27. [7] ROWEIS S T, SAUL L K. Nonlinear dimensionality reduction by locally linear embedding[J]. Science, 2000, 290(5500): 2323-2326. [8] HINTON G, ROWEIS S. Stochastic neighbor embedding[C]//NIPS 2003: Advances in Neural Information Processing Systems 16. Cambridge, MA: MIT Press, 2003: 833-840. [9] MAATEN L V D, HINTON G. Visualizing data using t-SNE[J]. Journal of Machine Learning Research, 2008, 9(3): 2579-2605. [10] TENENBAUM J B, DE SILVA V, LANGFORD J C. A global geometric framework for nonlinear dimensionality reduction[J]. Science, 2000, 290(5500): 2319-2323. [11] BELKIN M, NIYOGI P. Laplacian eigenmaps and spectral techniques for embedding and clustering[C]//NIPS 2001: Advance in Neural Information Processing Systems 14. Cambridge, MA: MIT Press, 2001: 585-591. [12] WEINBERGER K Q, SAUL L K. An introduction to nonlinear dimensionality reduction by maximum variance unfolding[C]//AAAI '06: Proceedings of the National Conference on Artificial Intelligence. Menlo Park, CA: AAAI Press, 2006: 1683-1686. [13] LING H, WU L, CAI Y. Similarity measure in high dimensional space[J]. Practice and Cognition of Mathematics, 2006, 36(9):189-194. [14] LICHMAN M. UCI machine learning repository [EB/OL]. [2014-06-05]. http://archive.Ics.uci.edu/ml/. [15] The MNIST data set is available at [EB/OL]. [2014-04-03]. http://yann.lecun.com/exdb/mnist/index.html/. [16] This data has been released by the Wireless Sensor Data Mining (WISDM) Lab [EB/OL]. [2014-04-05]. http://www.cis.fordham.edu/wisdm/. |