A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering

29 June 2016

Papers citing "A Semi-Definite Programming approach to low dimensional embedding for unsupervised clustering"

5 / 5 papers shown

Title
Learning with Semi-Definite Programming: new statistical bounds based on fixed point analysis and excess risk curvature Stéphane Chrétien Ning Zhang Guillaume Lecué Lucie Neirac 26 5 0 04 Apr 2020
Revisiting clustering as matrix factorisation on the Stiefel manifold Stéphane Chrétien Benjamin Guedj 46 3 0 11 Mar 2019
Partial recovery bounds for clustering with the relaxed $K$ means Christophe Giraud Nicolas Verzélen 268 60 0 19 Jul 2018
Positive semi-definite embedding for dimensionality reduction and out-of-sample extensions Michaël Fanuel Antoine Aspeel Jean-Charles Delvenne Johan A. K. Suykens 47 5 0 20 Nov 2017
Adaptive Clustering through Semidefinite Programming Martin Royer 114 30 0 18 May 2017