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- W2353265890 abstract "To overcome the shortcomings of the low clustering correctness and slow convergent speed in the basic fuzzy K-Modes clustering algorithm,the immune genetic algorithm is introduced into the cluster analysis.Cluster analysis based on fuzzy KModes and immune genetic algorithm is proposed.Both the analytical and experimental studies indicate that this method is faster and more efficient to converge upon the optimal value.Immune operators including vaccine extraction, vaccination and vaccine selection.The experimental result shows that this improved algorithm is effective and steady contrast with basic fuzzy K-Modes." @default.
- W2353265890 created "2016-06-24" @default.
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- W2353265890 date "2009-01-01" @default.
- W2353265890 modified "2023-09-22" @default.
- W2353265890 title "Cluster Analysis Based on Fuzzy K-Modes and Immune Genetic Algorithm" @default.
- W2353265890 hasPublicationYear "2009" @default.
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