When Do Birds of a Feather Flock Together? k-Means, Proximity, and Conic
Programming

When Do Birds of a Feather Flock Together? k-Means, Proximity, and Conic Programming

16 October 2017

Thomas Strohmer

Papers citing "When Do Birds of a Feather Flock Together? k-Means, Proximity, and Conic Programming"

9 / 9 papers shown

Title
On the Exactness of SDP Relaxation for Quadratic Assignment Problem Shuyang Ling 33 4 0 12 Aug 2024
Semidefinite programming on population clustering: a global analysis Shuheng Zhou 18 1 0 01 Jan 2023
Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data Yubo Zhuang Xiaohui Chen Yun Yang 29 1 0 29 Sep 2022
Global Optimization for Cardinality-constrained Minimum Sum-of-Squares Clustering via Semidefinite Programming V. Piccialli A. M. Sudoso 16 3 0 19 Sep 2022
Lattice-Based Methods Surpass Sum-of-Squares in Clustering Ilias Zadik M. Song Alexander S. Wein Joan Bruna 17 35 0 07 Dec 2021
Strong recovery of geometric planted matchings Dmitriy Kunisky Jonathan Niles-Weed 26 24 0 12 Jul 2021
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 40 165 0 15 Dec 2020
A Performance Guarantee for Spectral Clustering M. Boedihardjo Shaofeng Deng Thomas Strohmer 14 7 0 10 Jul 2020
Diffusion $K$ -means clustering on manifolds: provable exact recovery via semidefinite relaxations Xiaohui Chen Yun Yang 24 16 0 11 Mar 2019