Difference between revisions of "Similarity measure"

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(Created page with "A Similarity Measure is a metric that, given two objects (e.g. two 2-dimensional points, or two time-series), calculates their similarity in terms of inverted distance in the ran...")
 
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A Similarity Measure is a metric that, given two objects (e.g. two 2-dimensional points, or two time-series), calculates their similarity in terms of inverted distance in the range [0,1]. The larger the value of the similarity measure is, the more similar the two objects are. Examples of known similarity measures are Cosine Similarity and Jaccard Coefficient.
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A '''similarity measure''' is a metric that, given two objects (e.g. two 2-dimensional points, or two time-series), calculates their similarity in terms of inverted distance in the range [0,1]. The larger the value of the similarity measure is, the more similar the two objects are. Examples of known similarity measures are [[cosine similarity]] and the [[Jaccard coefficient]].
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[[Category: Similarity measure| ]]

Latest revision as of 11:06, 3 February 2012

A similarity measure is a metric that, given two objects (e.g. two 2-dimensional points, or two time-series), calculates their similarity in terms of inverted distance in the range [0,1]. The larger the value of the similarity measure is, the more similar the two objects are. Examples of known similarity measures are cosine similarity and the Jaccard coefficient.