Introduction to Information Retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
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<strong>Introduction</strong> <strong>to</strong> <strong>Information</strong> <strong>Retrieval</strong>Sec.14.3k Nearest Neighbor Classification• kNN = k Nearest Neighbor• To classify a document d in<strong>to</strong> class c:• Define k-neighborhood N as k nearest neighbors of d• Count number of documents i in N that belong <strong>to</strong> c• Estimate P(c|d) as i/k• Choose as class argmax c P(c|d) [ = majority class]2
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