Uniform Convergence Rates for Kernel Density Estimation
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[1] Ingo Steinwart,et al. Consistency and Rates for Clustering with DBSCAN , 2012, AISTATS.
[2] Csaba Szepesvári,et al. Manifold-Adaptive Dimension Estimation , 2007, ICML '07.
[3] Sanjoy Dasgupta,et al. Rates of convergence for the cluster tree , 2010, NIPS.
[4] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[5] Yizong Cheng,et al. Mean Shift, Mode Seeking, and Clustering , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[6] G. Biau,et al. On the asymptotic properties of a simple estimate of the Mode , 2004 .
[7] Peter J. Bickel,et al. Maximum Likelihood Estimation of Intrinsic Dimension , 2004, NIPS.
[8] B. Cadre. Kernel estimation of density level sets , 2005, math/0501221.
[9] Matthias Hein,et al. Intrinsic dimensionality estimation of submanifolds in Rd , 2005, ICML.
[10] Balázs Kégl,et al. Intrinsic Dimension Estimation Using Packing Numbers , 2002, NIPS.
[11] Sanjoy Dasgupta,et al. Optimal rates for k-NN density and mode estimation , 2014, NIPS.
[12] M. Rosenblatt. Remarks on Some Nonparametric Estimates of a Density Function , 1956 .
[13] Michael E. Houle,et al. Dimensionality, Discriminability, Density and Distance Distributions , 2013, 2013 IEEE 13th International Conference on Data Mining Workshops.
[14] P. J. Green,et al. Density Estimation for Statistics and Data Analysis , 1987 .
[15] Jose A. Costa,et al. Estimating Local Intrinsic Dimension with k-Nearest Neighbor Graphs , 2005, IEEE/SP 13th Workshop on Statistical Signal Processing, 2005.
[16] Philippe Rigollet,et al. Generalization Error Bounds in Semi-supervised Classification Under the Cluster Assumption , 2006, J. Mach. Learn. Res..
[17] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Larry A. Wasserman,et al. Non‐parametric inference for density modes , 2013, ArXiv.
[19] Samory Kpotufe,et al. Modal-set estimation with an application to clustering , 2016, AISTATS.
[20] E. Giné,et al. Rates of strong uniform consistency for multivariate kernel density estimators , 2002 .
[21] B. Silverman,et al. Using Kernel Density Estimates to Investigate Multimodality , 1981 .
[22] Uwe Einmahl,et al. Uniform in bandwidth consistency of kernel-type function estimators , 2005 .
[23] A. Rinaldo,et al. Generalized density clustering , 2009, 0907.3454.
[24] W. Eddy. Optimum Kernel Estimators of the Mode , 1980 .
[25] Surajit Ray,et al. A Nonparametric Statistical Approach to Clustering via Mode Identification , 2007, J. Mach. Learn. Res..
[26] A. Cuevas,et al. A plug-in approach to support estimation , 1997 .
[27] Heinrich Jiang,et al. Density Level Set Estimation on Manifolds with DBSCAN , 2017, ICML.
[28] J. Carmichael,et al. FINDING NATURAL CLUSTERS , 1968 .
[29] Gábor Lugosi,et al. Introduction to Statistical Learning Theory , 2004, Advanced Lectures on Machine Learning.
[30] H. Chernoff. Estimation of the mode , 1964 .
[31] M. Hazelton. Variable kernel density estimation , 2003 .
[32] J. Simonoff. Smoothing Methods in Statistics , 1998 .
[33] David Mason,et al. On the Estimation of the Gradient Lines of a Density and the Consistency of the Mean-Shift Algorithm , 2016, J. Mach. Learn. Res..
[34] Ingo Steinwart,et al. Adaptive Density Level Set Clustering , 2011, COLT.
[35] A. Tsybakov,et al. Fast learning rates for plug-in classifiers , 2007, 0708.2321.
[36] Sivaraman Balakrishnan,et al. Cluster Trees on Manifolds , 2013, NIPS.
[37] Hannu Oja,et al. Classification Based on Hybridization of Parametric and Nonparametric Classifiers , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Alexandre B. Tsybakov,et al. Introduction to Nonparametric Estimation , 2008, Springer series in statistics.
[39] Stephen Smale,et al. Finding the Homology of Submanifolds with High Confidence from Random Samples , 2008, Discret. Comput. Geom..
[40] Sanjoy Dasgupta,et al. Rates of Convergence for Nearest Neighbor Classification , 2014, NIPS.
[41] Larry A. Wasserman,et al. Minimax Manifold Estimation , 2010, J. Mach. Learn. Res..
[42] Richard G. Baraniuk,et al. Random Projections of Smooth Manifolds , 2009, Found. Comput. Math..
[43] Ken-ichi Kawarabayashi,et al. Estimating Local Intrinsic Dimensionality , 2015, KDD.
[44] Dirk P. Kroese,et al. Kernel density estimation via diffusion , 2010, 1011.2602.
[45] A. Tsybakov. On nonparametric estimation of density level sets , 1997 .
[46] Larry D. Hostetler,et al. The estimation of the gradient of a density function, with applications in pattern recognition , 1975, IEEE Trans. Inf. Theory.
[47] P. Rigollet,et al. Fast rates for plug-in estimators of density level sets , 2008 .
[48] Robert D. Nowak,et al. Adaptive Hausdorff Estimation of Density Level Sets , 2009, COLT.