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In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a method for classifying objects based on closest training examples in the feature space.
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Video created by University of California San Diego for the course "Introduction to Big Data". Let's look at some details of Hadoop and MapReduce. Then we'll go
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