Design of hybrids for the minimum sum-of-squares clustering problem
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Publication:951921
DOI10.1016/S0167-9473(02)00224-4zbMath1429.65124OpenAlexW1997713127MaRDI QIDQ951921
Joaquín Pacheco, Olga Valencia
Publication date: 4 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0167-9473(02)00224-4
Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Numerical mathematical programming methods (65K05) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (12)
The hyperbolic smoothing clustering method ⋮ On strategies to fix degenerate \(k\)-means solutions ⋮ A tabu-search heuristic for deterministic two-mode blockmodeling of binary network matrices ⋮ An improved column generation algorithm for minimum sum-of-squares clustering ⋮ A variable neighborhood search method for generalized blockmodeling of two-mode binary matrices ⋮ Applications of optimization heuristics to estimation and modelling problems ⋮ Experiments with, and on, algorithms for maximum likelihood clustering ⋮ Linear grouping using orthogonal regression ⋮ A scatter search approach for the minimum sum-of-squares clustering problem ⋮ Order-constrained solutions in \(K\)-means clustering: even better than being globally optimal ⋮ A comparison of heuristic procedures for minimum within-cluster sums of squares partitioning ⋮ Clustering qualitative data based on binary equivalence relations: neighborhood search heuristics for the clique partitioning problem
Uses Software
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