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HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares
  clustering
v1v2 (latest)

HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering

25 April 2018
Daniel Gribel
Thibaut Vidal
ArXiv (abs)PDFHTML

Papers citing "HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering"

10 / 10 papers shown
Boosting K-means for Big Data by Fusing Data Streaming with Global
  Optimization
Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization
Ravil Mussabayev
Rustam Mussabayev
121
0
0
18 Oct 2024
Memetic Differential Evolution Methods for Semi-Supervised Clustering
Memetic Differential Evolution Methods for Semi-Supervised Clustering
Pierluigi Mansueto
Fabio Schoen
101
0
0
07 Mar 2024
Regularization and Optimization in Model-Based Clustering
Regularization and Optimization in Model-Based ClusteringPattern Recognition (Pattern Recogn.), 2023
Raphael Araujo Sampaio
J. Garcia
M. Poggi
Thibaut Vidal
161
11
0
05 Feb 2023
Support Vector Machines with the Hard-Margin Loss: Optimal Training via
  Combinatorial Benders' Cuts
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' CutsJournal of Global Optimization (J. Glob. Optim.), 2022
Ítalo Santana
Breno Serrano
Maximilian Schiffer
Thibaut Vidal
285
6
0
15 Jul 2022
How to Use K-means for Big Data Clustering?
How to Use K-means for Big Data Clustering?Pattern Recognition (Pattern Recogn.), 2022
Rustam Mussabayev
N. Mladenović
B. Jarboui
Ravil Mussabayev
221
70
0
14 Apr 2022
Semi-Supervised Clustering with Inaccurate Pairwise Annotations
Semi-Supervised Clustering with Inaccurate Pairwise AnnotationsInformation Sciences (Inf. Sci.), 2021
Daniel Gribel
M. Gendreau
Thibaut Vidal
173
8
0
05 Apr 2021
Community Detection in the Stochastic Block Model by Mixed Integer
  Programming
Community Detection in the Stochastic Block Model by Mixed Integer ProgrammingPattern Recognition (Pattern Recogn.), 2021
Breno Serrano
Thibaut Vidal
422
12
0
26 Jan 2021
The Importance of Good Starting Solutions in the Minimum Sum of Squares
  Clustering Problem
The Importance of Good Starting Solutions in the Minimum Sum of Squares Clustering Problem
P. Kalczynski
J. Brimberg
Z. Drezner
70
4
0
06 Apr 2020
PILS: Exploring high-order neighborhoods by pattern mining and injection
PILS: Exploring high-order neighborhoods by pattern mining and injectionPattern Recognition (Pattern Recognit.), 2019
F. Arnold
Ítalo Santana
K. Sörensen
Thibaut Vidal
167
25
0
24 Dec 2019
A simple and effective hybrid genetic search for the job sequencing and
  tool switching problem
A simple and effective hybrid genetic search for the job sequencing and tool switching problemComputers & Operations Research (COR), 2019
Jordana Mecler
Anand Subramanian
Thibaut Vidal
115
21
0
10 Oct 2019
1
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