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  • Ágnes Vathy-Fogarassy; János Abonyi
    978-1-4471-5158-6
    2013
    Edition 1
    • Examines vector quantization methods, and discusses the advantages and disadvantages of minimal spanning tree-based clustering
    • Presents a novel similarity measure to improve the classical Jarvis-Patrick clustering algorithm
    • Reviews distance-, neighborhood- and topology-based dimensionality reduction methods, and introduces new graph-based visualization algorithms

    €120

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