k-means clustering

Partitioning Well-Clustered Graphs: Spectral Clustering Works! COLT 2015 Spectral Clustering via the Power Method - Provably ICML 2015 Superpixel Segmentation Using Linear Spectral Clustering CVPR 2015 Tradeoffs for Space, Time, Data and Risk in Unsupervised Learning AISTATS 2015 Web Scale Photo Hash Clustering on A Single Machine CVPR 2015 Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup ICML 2015 Coresets for k-Segmentation of Streaming Data NeurIPS 2014 Density-preserving quantization with application to graph downsampling COLT 2014 Distributed Balanced Clustering via Mapping Coresets NeurIPS 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 K-means recovers ICA filters when independent components are sparse ICML 2014 A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data ICCV 2013 Cartesian K-Means CVPR 2013 Clustering Oligarchies AISTATS 2013 Distributed k-means and k-median Clustering on General Topologies NeurIPS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013 Joint Inverted Indexing ICCV 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Maximum Volume Clustering: A New Discriminative Clustering Approach JMLR 2013 Moment-based Uniform Deviation Bounds for k-means and Friends NeurIPS 2013 Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013 SIFTpack: A Compact Representation for Efficient SIFT Matching ICCV 2013 Small-Variance Asymptotics for Hidden Markov Models NeurIPS 2013 Dip-means: an incremental clustering method for estimating the number of clusters NeurIPS 2012 Efficient Hypergraph Clustering AISTATS 2012