Hautamki V, Krkkinen I, Frnti P. Outlier Detection Using k-Nearest Neighbour Graph // Proc of the 17th International Conference on Pattern Recognition. Cambridge, UK, 2004: 430-433
[2]
Bradley A P. The Use of the Area under the ROC Curve in the Evaluation of Machine Learning Algorithms. Pattern Recognition, 1997, 30(7): 1145-1159
[3]
Yan Lian, Dodier R, Mozer M C, et al. Optimizing Classifier Performance via the Wilcoxon-Mann-Whitney Statistic // Proc of the 20th International Conference on Machine Learning. Washington, USA, 2003: 848-855
[4]
Markos M, Sameer S. Novelty Detection: A Review—Part I: Statistical Approaches. Signal Processing, 2003, 83(12): 2481-2497
[5]
Chen Bin, Feng Aimin, Chen Songcan, et al. One-Cluster Clustering Based Data Description. Chinese Journal of Computers, 2007, 30(8): 1325-1332 (in Chinese) (陈 斌,冯爱民,陈松灿,等,基于单簇聚类的数据描述.计算机学报, 2007, 30(8): 1325-1332)
[6]
Tax D. One-Class Classification—Concept-Learning in the Absence of Counter-Examples. Ph.D Dissertation. Holland, Netherlands: Delft University of Technology. Faculty of Electrical Engineering, 2001
[7]
Scholkpf B, Platt J, Shawe-Taylor J, et al. Estimating the Support of High-Dimensional Distribution. Neural Computation, 2001, 13(7): 1443-1471
[8]
Tax D, Duin R. Support Vector Domain Description. Pattern Recognition Letters, 1999, 20(11/12/13): 1191-1199
[9]
Tax D, Duin R. Support Vector Data Description. Machine Learning, 2004, 54(1): 45-66
[10]
Quan Yong, Yang Jie. Modified Kernel Functions by Geodesic Distance. EURASIP Journal on Applied Signal Processing, 2004, 16(1): 2515-2521
[11]
Duda R, Hart P, Stork D. Pattern Classification. 2nd Edition. New York, USA: Wiley-Interscience, 2001
[12]
Saul L K. An Introduction to Locally Linear Embedding [EB/OL]. [2001-03-02]. http://www.cs.toronto.edu/ ~roweis/lle/papers/lleintroa4.pdf
[13]
Tenenbaum J B, de Silva V, Langford J C. A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science, 2000, 290(5500): 2319-2323
