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    | • | 
    Fitting
    hyperplanes as 
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    separators is
    mathematically 
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    easy. 
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    – | 
    The
    mathematics is linear. 
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    By replacing the
    raw input 
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    variables with a
    much larger 
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    set of features
    we get a nice 
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    property: 
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    – | 
    A
    planar separator in the 
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    high-dimensional
    space of 
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    feature
    vectors is a curved 
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    separator
    in the low 
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    dimensional
    space of the 
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    raw
    input variables. 
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