Similarity Measure

A similarity measure is a distance measure of a similarity relationship.

• AKA: Affinity Measure, Relatedness Function.
• Context:
  • range: Similarity Score.
  • It can (often) be based on a Distance Function.
  • It can range from being a Symmetric Similarity Measure to being a Non-Symmetric Similarity Measure (like KL).
  • It can range from being a Syntactic Similarity Measure to being a Semantic Similarity Measure.
  • It can be computed by a Similarity Measure Computation Operation.
  • It can range from being a Set Similarity, a Multiset Similarity, a Multiset Pattern Similarity, a Tuple-Space Similarity, a Metric-Space Similarity, a Graph-based Similarity, ...
  • It can be a Domain-Specific Similarity Measure, such as a Word Semantic Similarity Measure lexical items similarity measure.
  • It can be a Similarity Metric.
• Example(s):
  • a Semantic Similarity Measure, such as words similarity measure.
  • a Syntactic Similarity Measure, such as ...
  • a Normalized Google Similarity Measure.
  • a Cosine Similarity Measure.
  • a Kullback-Leibler Similarity Measure.
  • a Graph Nodes Similarity Measure.
  • …
• Counter-Example(s):
  • a Dissimilarity Measure.
• See: Similarity Matrix, Clustering Task, Local Search; Equivalence Relationship.

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References

• http://scholar.google.com/scholar?q=%22a+Similarity+Measure%22
• http://scholar.google.com/scholar?q=%22similarity+measure+such+as%22

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