Vector Distance Metric

A Vector Distance Metric is a distance metric between two Vectors.

• Context:
  • Input: Two or more Vectors (a Tuple-Input Function).
  • Output: Mean Distance Value.
  • It can be used as a:
    • a String Distance Function, by mapping each string and underlying Base Corpus as Multisets. (however, it cannot handle the Word Semantic Challenge).
    • a Document Distance Function, by mapping each Document and the underlying Base Corpus as Multisets.
• Example(s):
  • an Euclidean Distance Function.
  • a Cosine Distance Function.
  • a Minkowski Distance Function.
• Counter-Example(s):
  • a Tuple Distance Function.
  • a Vector Count Function.
• See: Word Vector Model.

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