Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds

9 June 2017

Papers citing "Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds"

10 / 10 papers shown

Title
Distributed Clustering based on Distributional Kernel Hang Zhang Yang Xu Lei Gong Ye Zhu Kai Ming Ting 16 0 0 14 Sep 2024
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes Kwangho Kim B. Niknam J. Zubizarreta 14 2 0 01 Nov 2023
On The Relative Error of Random Fourier Features for Preserving Kernel Distance Kuan Cheng S. Jiang Luojian Wei Zhide Wei 28 1 0 01 Oct 2022
Dissimilarity Mixture Autoencoder for Deep Clustering Juan S. Lara Fabio A. González 14 5 0 15 Jun 2020
On the optimality of kernels for high-dimensional clustering L. C. Vankadara D. Ghoshdastidar 16 11 0 01 Dec 2019
Simple and Almost Assumption-Free Out-of-Sample Bound for Random Feature Mapping Shusen Wang 21 2 0 24 Sep 2019
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data J. Tropp A. Yurtsever Madeleine Udell V. Cevher 23 79 0 18 Jun 2017
Randomized Clustered Nystrom for Large-Scale Kernel Machines Farhad Pourkamali Anaraki Stephen Becker 24 33 0 20 Dec 2016
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 75 278 0 09 Aug 2012
Random projection trees for vector quantization S. Dasgupta Y. Freund 67 147 0 09 May 2008