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Kernel tips are used to map a non-linearly separable features into an increased dimension linearly separable purpose. If the courses aren't linearly separable, a kernel trick may be used to map a non-linearly separable Place into the next dimension linearly separable space.

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In another way within the GMM, an LDA types discrete info (phrases in documents) and it constrains that the topics really are a priori

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