13.6 文献笔记

13.6 文献笔记

最近邻方法至少追溯到Fix and Hodges (1951)1。Dasarathy (1991)2综述了关于该话题的大量文献;Ripley (1996)3的第六章有个很好的总结。\(K\)均值聚类归功于Lloyd (1957)4和MacQueen (1967)5。Kohonen (1989)6提出学习向量量化。切距离方法归功于Simard et al. (1993)7。Hastie and Tibshirani (1996a)8提出了判别式自适应最近邻技巧。


1

Fix, E. and Hodges, J. (1951). Discriminatory analysis—nonparametric discrimination: Consistency properties, Technical Report 21-49-004,4, U.S. Air Force, School of Aviation Medicine, Randolph Field, TX.

2

Dasarathy, B. (1991). Nearest Neighbor Pattern Classification Techniques, IEEE Computer Society Press, Los Alamitos, CA.

3

Ripley, B. D. (1996). Pattern Recognition and Neural Networks, Cambridge University Press.

4

Lloyd, S. (1957). Least squares quantization in PCM., Technical report, Bell Laboratories. Published in 1982 in IEEE Transactions on Information Theory 28 128-137.

5

MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, eds. L.M. LeCam and J. Neyman, University of California Press, pp. 281–297.

6

Kohonen, T. (1989). Self-Organization and Associative Memory (3rd edition), Springer, Berlin.

7

Simard, P., Cun, Y. L. and Denker, J. (1993). Efficient pattern recognition using a new transformation distance, Advances in Neural Information Processing Systems, Morgan Kaufman, San Mateo, CA, pp. 50–58.

8

Hastie, T. and Tibshirani, R. (2003). Independent components analysis through product density estimation, in S. T. S. Becker and K. Obermayer (eds), Advances in Neural Information Processing Systems 15, MIT Press, Cambridge, MA, pp. 649–656.