Construct a nearest-neighbor classifier

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Reference no: EM133218764

Question: Suppose you are given a document collection where each document consists of both text and pictures. Suppose each document has been labeled as belonging to one of two classes (+ denoting "interesting" and - denoting "not interesting"). Suppose the vocabulary used in the document consists of V distinct words w1 · · ·wV. Suppose the pictures are made of a visual vocabulary of F distinct identifiable features. Suppose you want to construct a nearest-neighbor classifier from this data set. How would you go about designing a nearest-neighbor classifier in this case? Explain with pseudo-code.

Reference no: EM133218764

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