Computer Science ›› 2014, Vol. 41 ›› Issue (3): 212-217.
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HE Jin-rong,DING Li-xin,HU Qing-hui and LI Zhao-kui
[1] Skillicorn D B.Understanding High-Dimensional Spaces[M].Springer-Verlag New York Incorporated,2013 [2] Donoho D L.High-dimensional data analysis:The curses andblessings of dimensionality[J].AMS Math Challenges Lecture,2000:1-32 [3] Bellman R.Adaptive Control Process:A Guide Tour[M].Princeton University Press,Princeton,New Jersey,1961 [4] Fukunaga K.Introduction to Statistical Pattern Recognition(2nd ed)[M].New York:Academic,1990, 39-40(31-34):220-221 [5] Mil’man V D.New proof of the theorem of A.Dvoretzky on intersections of convex bodies[J].Functional Analysis and its Applications,1971,5(4):288-295 [6] Weber R,Schek H-J,Blott S.A quantitative analysis and per-formance study for similarity-search methods in high-dimensionalspaces[C]∥Proceedings of the 24rd International Conference on Very Large Data Bases,ser.VLDB’98.San Francisco,CA,USA:Morgan Kaufmann Publishers Inc.,1998:194-205 [7] Gaede V,Günther O.Multidimensional access methods[J].ACM Computing Surveys (CSUR),1998,30(2):170-231 [8] Francois D,Wertz V,Verleysen M.Non-euclidean metrics forsimilarity search in noisy datasets[C]∥Proc.of ESANN.2005 [9] Kouiroukidis N,Evangelidis G.The Effects of DimensionalityCurse in High Dimensional kNN Search[C]∥Informatics (PCI),201115th Panhellenic Conference on.IEEE,2011:41-45 [10] Clarke R,Ressom H W,Wang A,et al.The properties of high-dimensional data spaces:implications for exploring gene and protein expression data[J].Nature Reviews Cancer,2008,8(1):37-49 [11] Jimenez L,Landgrebe D.Supervised Classification in High Dimensional Space:Geometrical,Statistical and Asymptotical Properties of Multivariate data[J].IEEE Transactions on Geoscience and Remote Sensing,1999,37(6) [12] Jimenez L,Landgrebe D.High dimensional feature reduction via projection pursuit[C]∥Geoscience and Remote Sensing Symposium,1994.IGARSS’94.Surface and Atmospheric Remote Sensing:Technologies,Data Analysis and Interpretation.International.IEEE,1994,2:1145-1147 [13] Rupp M,Schneider P,Schneider G.Distance phenomena in high-dimensional chemical descriptor spaces:Consequences for similarity-based approaches[J].Journal of Computational Chemistry,2009,30(14):2285-2296 [14] Francois D,Wertz V,Verleysen M.The concentration of fractional distances[J].IEEE Transactions on Knowledge and Data Engineering,2007,19(7):873-886 [15] Durrant R J,Kabán A.When is ‘nearest neighbor’meaningful:A converse theorem and implications[J].Journal of Complexity,2009,25(4):385-397 [16] Beyer K,Goldstein J,Ramakrishnan R,et al.When is “nearest neighbor” meaningful?[M]//Database Theory—ICDT’99.Springer Berlin Heidelberg,1999:217-235 [17] Hinneburg A,Aggarwal C C,Keim D A.What is the nearest neighbor in high dimensional spaces?[M].Bibliothek der Universitt Konstanz,2000 [18] Francois D,Wertz V,Verleysen M.Non-euclidean metrics forsimilarity search in noisy datasets[C]∥Proc.of ESANN.2005 [19] Hsu C M,Chen M S.On the design and applicability of distance functions in high-dimensional data space[J]. IEEE Transactions on Knowledge and Data Engineering,2009,21(4):523-536 [20] Aggarwal C C,Hinneburg A,Keim D A.On the surprising behavior of distance metrics in high dimensional spaces[C]∥Proceedings of the 8th International Conference on Database Theory,ser.ICDT ’01.London,UK:Springer-Verlag,2001:420-434 [21] Canal L.A normal approximation for the chi-square distribution[J].Computational Statistics & Data Analysis,2005,48(4):803-808 [22] Katafygiotis L S,Zuev K M.Geometric insight into the challenges of solving high-dimensional reliability problems[J].Probabilistic Engineering Mechanics,2008,23(2):208-218 [23] Wang Jian-zhong.Geometric Structure of High-Dimensional Data and Dimensionality Reduction[C]∥Higher Education Press (China) and Springer.Beijing,2011 [24] Hopcroft J,Kannan R.Computer Science Theory for the Information Age[M].Spring,2012:7-27 |
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