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- W2288738047 abstract "In this paper we proposed multicodebook LVQ-based artificial neural network classifier using clustering approach. The classifiers are LVQ, LVQ2-1, GLVQ, and FNGLVQ. The clustering algorithm used to build multi codebook is K-Means, IK-Means, and GMM. Experiment result shows that on synthteic dataset multi codebook FNGLVQ using GMM clustering has higest improvement with 19,53% mprovement compared to FNGLVQ. Whereas on bencmark dataset multi codebook LVQ2-1 using K-Means clustering has higest improvement with 5,83% improvement cmpared to LVQ-2.1." @default.
- W2288738047 created "2016-06-24" @default.
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- W2288738047 date "2015-10-01" @default.
- W2288738047 modified "2023-09-26" @default.
- W2288738047 title "Multi codebook LVQ-based artificial neural network using clustering approach" @default.
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- W2288738047 doi "https://doi.org/10.1109/icacsis.2015.7415193" @default.
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