Clustering categorical data sets using tabu search techniques

DOI10.1016/S0031-3203(02)00021-3zbMath1010.68149OpenAlexW2066794285MaRDI QIDQ1856701

Joyce C. Wong, Michael Kwok-Po Ng

Publication date: 11 February 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(02)00021-3

zbMATH Keywords

clusteringtabu search\(k\)-meanscategorical data\(k\)-modesnumeric data

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (10)

An optimization algorithm for clustering using weighted dissimilarity measures ⋮ Hybrid Intelligent Regressions with Neural Network and Fuzzy Clustering ⋮ A survey on feature weighting based K-means algorithms ⋮ A multiple pheromone table based ant colony optimization for clustering ⋮ Size-constrained graph partitioning polytopes ⋮ A fair-multicluster approach to clustering of categorical data ⋮ Automatic clustering using genetic algorithms ⋮ Categorical data fuzzy clustering: an analysis of local search heuristics ⋮ A tabu search approach for the minimum sum-of-squares clustering problem ⋮ An efficient hybrid evolutionary optimization algorithm based on PSO and SA for clustering

Uses Software

• Tabu search

Cites Work

• Unnamed Item
• Serial and parallel simulated annealing and tabu search algorithms for the traveling salesman problem
• Local convergence of the fuzzy c-means algorithms
• A parallel implementation of the tabu search heuristic for vehicle routing problems with time window constraints
• Massively parallel tabu search for the quadratic assignment problem
• K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
• A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms
• A new approach to clustering
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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