Quantization/clustering: when and why does k-means work?

11 January 2018

Papers citing "Quantization/clustering: when and why does k-means work?"

9 / 9 papers shown

Title
Fuzzy Norm-Explicit Product Quantization for Recommender Systems Mohammadreza Jamalifard Javier Andreu-Perez H. Hagras Luis Martínez López 96 0 0 08 Dec 2024
Topological Analysis for Detecting Anomalies (TADA) in Time Series Frédéric Chazal Martin Royer Clément Levrard 51 0 0 10 Jun 2024
Fair and Robust Estimation of Heterogeneous Treatment Effects for Policy Learning K. Kim J. Zubizarreta 26 6 0 06 Jun 2023
Estimation and Quantization of Expected Persistence Diagrams Vincent Divol Théo Lacombe 6 9 0 11 May 2021
New bounds for $k$ -means and information $k$ -means Gautier Appert O. Catoni 29 5 0 14 Jan 2021
Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval Chung-Wei Weng Yauhen Yakimenka Hsuan-Yin Lin E. Rosnes Joerg Kliewer 32 3 0 07 Dec 2020
Optimal quantization of the mean measure and applications to statistical learning Frédéric Chazal Clément Levrard Martin Royer 13 5 0 04 Feb 2020
Robust Bregman Clustering A. Fischer Clément Levrard Claire Brécheteau 15 12 0 11 Dec 2018
A notion of stability for k-means clustering Thibaut Le Gouic Q. Paris 14 3 0 29 Jan 2018