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  "Title": "A Super K-Nearest Neighbor (SKNN) Classification Algorithm",
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  "Description": "It's a Super K-Nearest Neighbor(SKNN) classification\nmethod with using kernel density to describe weight of the\ndistance between a training observation and the testing sample.\nComparison of performance between SKNN and KNN shows that SKNN\nis significantly superior to KNN.",
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    "User": "root"
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  "Author": "Yarong Yang [aut, cre], Nader Ebrahimi [ctb], Yoram Rubin\n[ctb], Jacob Zhang [ctb]",
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      "title": "Super K-Nearest Neighbor (SKNN) Classification",
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      "title": "Finding the distance between two observations.",
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        "Dist"
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      "title": "K-Nearest Neighbor Classification",
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      "title": "Super K-Nearest Neighbor (SKNN) Classification",
      "topics": [
        "SKNN"
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