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Similarity Metrics

  • Nearest neighbor method depends on a similarity (or distance) metric.

  • Simplest for continuous m-dimensional instance space is Euclidean distance.

  • Simplest for m-dimensional binary instance space is Hamming distance (number of feature values that differ).

  • For text, cosine similarity of tf.idf weighted vectors is typically most effective.

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