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

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

25 April 2018

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

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Title
Boosting K-means for Big Data by Fusing Data Streaming with Global Optimization Ravil Mussabayev Rustam Mussabayev 18 0 0 18 Oct 2024
Memetic Differential Evolution Methods for Semi-Supervised Clustering Pierluigi Mansueto Fabio Schoen 25 0 0 07 Mar 2024
Regularization and Optimization in Model-Based Clustering Raphael Araujo Sampaio J. Garcia M. Poggi Thibaut Vidal 21 7 0 05 Feb 2023
Support Vector Machines with the Hard-Margin Loss: Optimal Training via Combinatorial Benders' Cuts Ítalo Santana Breno Serrano Maximilian Schiffer Thibaut Vidal 75 4 0 15 Jul 2022
How to Use K-means for Big Data Clustering? Rustam Mussabayev N. Mladenović B. Jarboui Ravil Mussabayev 31 54 0 14 Apr 2022
Semi-Supervised Clustering with Inaccurate Pairwise Annotations Daniel Gribel M. Gendreau Thibaut Vidal 27 7 0 05 Apr 2021
Community Detection in the Stochastic Block Model by Mixed Integer Programming Breno Serrano Thibaut Vidal 105 6 0 26 Jan 2021
The Importance of Good Starting Solutions in the Minimum Sum of Squares Clustering Problem P. Kalczynski J. Brimberg Z. Drezner 13 4 0 06 Apr 2020
PILS: Exploring high-order neighborhoods by pattern mining and injection F. Arnold Ítalo Santana K. Sörensen Thibaut Vidal 39 18 0 24 Dec 2019
A simple and effective hybrid genetic search for the job sequencing and tool switching problem Jordana Mecler Anand Subramanian Thibaut Vidal 12 19 0 10 Oct 2019