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Mean shift clustering finds the modes of the data probability density by identifying the zero points of the density gradient.
On information and sufficiency
S. Kullback and R. A. Leibler · 1951
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The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming
L. M. Bregman · 1967
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Some methods for classification and analysis of multivariate observations
J. B. MacQueen · 1967
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The estimation of the gradient of a density function, with applications in pattern recognition
K. Fukunaga and L. Hostetler · 1975
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Comparing partitions
L. Hubert and P. Arabie · 1985
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Mean shift, mode seeking, and clustering
Y. Cheng · 1995
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Regression shrinkage and subset selection with the lasso
R. Tibshirani · 1996
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Robust and efficient estimation by minimising a density power divergence
A. Basu, I. R. Harris, N. L. Hjort, and M. C. Jones · 1998
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Real-time tracking of non-rigid objects using mean shift
D. Comaniciu, V. Ramesh, and P. Meer · 2000
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Normalized cuts and image segmentation
J. Shi and J. Malik · 2000
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Mean shift: A robust approach toward feature space analysis
D. Comaniciu and P. Meer · 2002
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On spectral clustering: Analysis and an algorithm
A. Y. Ng, M. I. Jordan, and Y. Weiss · 2002
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Mean-shift blob tracking through scale space
R. T. Collins · 2003
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Regularized multi-task learning
T. Evgeniou and M. Pontil · 2004
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The entire regularization path for the support vector machine
T. Hastie, S. Rosset, R. Tibshirani, and J. Zhu · 2004
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Image and video segmentation by anisotropic kernel mean shift
Multi-task feature learning
A. Argyriou, T. Evgeniou, and M. Pontil · 2007
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Gaussian mean-shift is an EM algorithm
M.Á. Carreira-Perpiñán · 2007
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Some extensions of score matching
A. Hyvärinen · 2007
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Color image segmentation based on mean shift and normalized cuts
W. Tao, H. Jin, and Y. Zhang · 2007
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Contour detection and hierarchical image segmentation
P. Arbelaez, M. Maire, C. Fowlkes, and J. Malik · 2011
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Density ratio matching under the Bregman divergence: A unified framework of density ratio estimation
M. Sugiyama, T. Suzuki, and T. Kanamori · 2012
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J. Wang, B. Thiesson, Y. Xu, and M. Cohen · 2004
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Estimation of non-normalized statistical models by score matching
A. Hyvärinen · 2005
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Fast nonparametric clustering with gaussian blurring mean-shift
M.Á. Carreira-Perpiñán · 2006
Cited alongside, same era.
Computational complexity of kernel-based density-ratio estimation: A condition number analysis
T. Kanamori, T. Suzuki, and M. Sugiyama · 2013
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Density estimation in infinite dimensional exponential families
B. Sriperumbudur, K. Fukumizu, A. Gretton, and A. Hyvärinen · 2013
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Information-maximization clustering based on squared-loss mutual information
M. Sugiyama, G. Niu, M. Yamada, M. Kimura, and H. Hachiya · 2014
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