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[1] W. Hoeffding. Probability Inequalities for sums of Bounded Random Variables , 1963 .
[2] Norbert Sauer,et al. On the Density of Families of Sets , 1972, J. Comb. Theory, Ser. A.
[3] Clément Levrard. Fast rates for empirical vector quantization , 2012, 1201.6052.
[4] Yi Li,et al. Improved bounds on the sample complexity of learning , 2000, SODA '00.
[5] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[6] Shai Ben-David,et al. A Sober Look at Clustering Stability , 2006, COLT.
[7] D. Pollard. Strong Consistency of $K$-Means Clustering , 1981 .
[8] Tamás Linder,et al. The minimax distortion redundancy in empirical quantizer design , 1997, Proceedings of IEEE International Symposium on Information Theory.
[9] D. Pollard. Convergence of stochastic processes , 1984 .
[10] Alexander Rakhlin,et al. Stability of $K$-Means Clustering , 2006, NIPS.
[11] Sanjoy Dasgupta,et al. Moment-based Uniform Deviation Bounds for k-means and Friends , 2013, NIPS.
[12] Sariel Har-Peled. Geometric Approximation Algorithms , 2011 .
[13] László Györfi,et al. Individual convergence rates in empirical vector quantizer design , 2005, IEEE Transactions on Information Theory.
[14] Yaofeng Ren,et al. On the best constant in Marcinkiewicz-Zygmund inequality , 2001 .
[15] David Haussler,et al. Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications , 1992, Inf. Comput..
[16] Ohad Shamir,et al. Cluster Stability for Finite Samples , 2007, NIPS.
[17] J. Moors,et al. The Meaning of Kurtosis: Darlington Reexamined , 1986 .
[18] Shai Ben-David,et al. A framework for statistical clustering with constant time approximation algorithms for K-median and K-means clustering , 2007, Machine Learning.