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13 docs tagged with "kernels"

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Kernel Methods

Some data simply cannot be separated by a straight line — two concentric circles of different classes have no linear boundary at all. The kernel trick lets a linear algorithm operate as if the data had been lifted into a much higher-dimensional (sometimes infinite-dimensional) space where a linear boundary does exist, without ever actually computing that lift.