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We propose a novel method to accelerate Lloyd's algorithm for K-Means clustering.
Iterative procedures for nonlinear integral equations
Anderson, D. G. (1965) · 1965
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Convergence properties of the k-means algorithms
Bottou, L. and Bengio, Y. (1994) · 1994
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Efficient and effective clustering methods for spatial data mining
Ng, R. T. and Han, J. (1994) · 1994
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Birch: A new data clustering algorithm and its applications
Zhang, T., Ramakrishnan, R., and Livny, M. (1997) · 1997
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Refining initial points for k-means clustering
Bradley, P. S. and Fayyad, U. M. (1998) · 1998
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Using the triangle inequality to accelerate k-means
Elkan, C. (2003) · 2003
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Numerical Optimization
Nocedal, J. and Wright, S. J. (2006) · 2006
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k-means++: The advantages of careful seeding
Arthur, D. and Vassilvitskii, S. (2007) · 2007
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NP-hardness of Euclidean sum-of-squares clustering
Aloise, D., Deshpande, A., Hansen, P., and Popat, P. (2009) · 2009
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Two classes of multisecant methods for nonlinear acceleration
Fang, H.-r. and Saad, Y. (2009) · 2009
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Making k-means even faster
Hamerly, G. (2010) · 2010
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Anderson acceleration for fixed-point iterations
Walker, H. F. and Ni, P. (2011) · 2011
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Anderson acceleration for nonlinear finite volume scheme for advection-diffusion problems
Lipnikov, K., Svyatskiy, D., and Vassilevski, Y. (2013) · 2013
Cited alongside, same era.
A characterization of the behavior of the anderson acceleration on linear problems
Potra, F. A. and Engler, H. (2013) · 2013
Cited alongside, same era.
Yinyang k-means: A drop-in replacement of the classic k-means with consistent speedup
Ding, Y., Zhao, Y., Shen, X., Musuvathi, M., and Mytkowicz, T. (2015) · 2015
Cited alongside, same era.
Accelerating lloyd’s algorithm for k-means clustering
Hamerly, G. and Drake, J. (2015) · 2015
Cited alongside, same era.
MM Optimization Algorithms
Lange, K. (2016) · 2016
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Fast k-means with accurate bounds
Newling, J. and Fleuret, F. (2016) · 2016
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Anderson acceleration of the jacobi iterative method: An efficient alternative to Krylov methods for large, sparse linear systems
Pratapa, P. P., Suryanarayana, P., and Pask, J. E. (2016) · 2016
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Anderson acceleration and application to the three-temperature energy equations
An, H., Jia, X., and Walker, H. F. (2017) · 2017
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UCI machine learning repository
Dheeru, D. and Karra Taniskidou, E. (2017) · 2017
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Accelerating the Uzawa algorithm
Ho, N., Olson, S. D., and Walker, H. F. (2017) · 2017
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Convergence analysis for anderson acceleration
Toth, A. and Kelley, C. T. (2015) · 2015
Cited alongside, same era.
Fast and provably good seedings for k-means
Bachem, O., Lucic, M., Hassani, H., and Krause, A. (2016) · 2016
Cited alongside, same era.
Anderson acceleration of the alternating projections method for computing the nearest correlation matrix
Higham, N. J. and Strabić, N. (2016) · 2016
Cited alongside, same era.
K-medoids for k-means seeding
Newling, J. and Fleuret, F. (2017) · 2017
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Local improvement results for anderson acceleration with inaccurate function evaluations
Toth, A., Ellis, J. A., Evans, T., Hamilton, S., Kelley, C. T., Pawlowski, R., and Slattery, S. (2017) · 2017
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Anderson acceleration for geometry optimization and physics simulation
Peng, Y., Deng, B., Zhang, J., Geng, F., Qin, W., and liu, L. (2018) · 2018
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