\(k\)-means genetic algorithms with greedy genetic operators
From MaRDI portal
Publication:2217036
DOI10.1155/2020/8839763zbMath1459.62114OpenAlexW3106856472MaRDI QIDQ2217036
Guzel Shkaberina, Viktor Orlov, Lev A. Kazakovtsev, Ivan Rozhnov
Publication date: 18 December 2020
Published in: Mathematical Problems in Engineering (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2020/8839763
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Approximation methods and heuristics in mathematical programming (90C59)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- New heuristic algorithms for solving the planar \(p\)-median problem
- A simple \(D^2\)-sampling based PTAS for \(k\)-means and other clustering problems
- New genetic algorithms based approaches to continuous \(p\)-median problem
- The \(p\)-median problem: a survey of metaheuristic approaches
- Solving the planar \(p\)-Median problem by variable neighborhood and concentric searches
- A new mutation operator for real coded genetic algorithms
- NP-hardness of Euclidean sum-of-squares clustering
- Aggregation error for location models: Survey and analysis
- Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
- An optimal method for solving the (generalized) multi-Weber problem
- An efficient genetic algorithm for the \(p\)-median problem
- An aggregation heuristic for large scale p-median problem
- Comparison of genetic algorithms, random restart and two-opt switching for solving large location-allocation problems
- Clustering stability-based evolutionary K-means
- A new local search for continuous location problems
- A heuristic algorithm for constrained multi-source Weber problem - the variational inequality approach
- Algorithms with greedy heuristic procedures for mixture probability distribution separation
- VNS-BASED ALGORITHMS FOR THE CENTROID-BASED CLUSTERING PROBLEM
- Solution methods for thep-median problem: An annotated bibliography
- An Algorithmic Approach to Network Location Problems. I: Thep-Centers
- The complexity of the generalized Lloyd - Max problem (Corresp.)
- Finding Groups in Data
- Heuristic Methods for Location-Allocation Problems
- Least squares quantization in PCM
- A genetic algorithm with tournament selection as a local search method
- Introduction to Genetic Algorithms
- StreamKM++
- Exact and approximate solutions to the multisource weber problem
- Simultaneously applying multiple mutation operators in genetic algorithms
- J-MEANS: A new local search heuristic for minimum sum of squares clustering