k-means clustering

Selective inference for k-means clustering JMLR 2023 Simple, Scalable and Effective Clustering via One-Dimensional Projections NeurIPS 2023 Sketching Algorithms for Sparse Dictionary Learning: PTAS and Turnstile Streaming NeurIPS 2023 Statistical Guarantees for Consensus Clustering ICLR 2023 Zero-Shot Automatic Pronunciation Assessment Interspeech 2023 Adapting k-means Algorithms for Outliers ICML 2022 Approximate Cluster Recovery from Noisy Labels COLT 2022 A Sampling-Based Approach for Efficient Clustering in Large Datasets CVPR 2022 A Stylometric Analysis of Amadís de Gaula and Sergas de Esplandián AACL 2022 A Tighter Analysis of Spectral Clustering, and Beyond ICML 2022 Automatic Recognition of Emotional Subgroups in Images IJCAI 2022 Bregman Power k-Means for Clustering Exponential Family Data ICML 2022 Convergence of online k-means AISTATS 2022 Coresets for Vertical Federated Learning: Regularized Linear Regression and K-Means Clustering NeurIPS 2022 DKM: Differentiable k-Means Clustering Layer for Neural Network Compression ICLR 2022 FLS: A New Local Search Algorithm for K-means with Smaller Search Space IJCAI 2022 FriendlyCore: Practical Differentially Private Aggregation ICML 2022 How to Find a Good Explanation for Clustering? AAAI 2022 Learning-Augmented k-means Clustering ICLR 2022 Locally Private k-Means Clustering with Constant Multiplicative Approximation and Near-Optimal Additive Error AAAI 2022 Massively Parallel k-Means Clustering for Perturbation Resilient Instances ICML 2022 Mean Nyström Embeddings for Adaptive Compressive Learning AISTATS 2022 Near-Optimal Private and Scalable k-Clustering NeurIPS 2022 Regularized K-means Through Hard-Thresholding JMLR 2022 Sketch-and-lift: scalable subsampled semidefinite program for K-means clustering AISTATS 2022