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  2. Abstraction-Filtration-Comparison test - Wikipedia

    en.wikipedia.org/wiki/Abstraction-Filtration...

    The Abstraction-Filtration-Comparison test (AFC) is a method of identifying substantial similarity for the purposes of applying copyright law. In particular, the AFC test is used to determine whether non-literal elements of a computer program have been copied by comparing the protectable elements of two programs.

  3. Substantial similarity - Wikipedia

    en.wikipedia.org/wiki/Substantial_similarity

    Direct evidence of actual copying by a defendant rarely exists, so plaintiffs must often resort to indirectly proving copying. [1] [page needed] Typically, this is done by first showing that the defendant had access to the plaintiff's work and that the degree of similarity between the two works is so striking or substantial that the similarity could only have been caused by copying, and not ...

  4. File:Similarity analysis and clustering of modules.pdf

    en.wikipedia.org/wiki/File:Similarity_analysis...

    Testing various clustering algorithms and analyzing their results to find a suitable match for our task (determining which modules are similar and possible candidates to be merged). Also contains a brief literature review of code similarity detection. List of possible candidates for improvement of clustering using better algorithms.

  5. Analysis of similarities - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_similarities

    The test statistic R is calculated in the following way: R = r B − r W M / 2 {\displaystyle R={\frac {r_{B}-r_{W}}{M/2}}} where r B is the average of rank similarities of pairs of samples (or replicates) originating from different sites, r W is the average of rank similarity of pairs among replicates within sites, and M = n ( n − 1)/2 where ...

  6. Gower's distance - Wikipedia

    en.wikipedia.org/wiki/Gower's_distance

    In statistics, Gower's distance between two mixed-type objects is a similarity measure that can handle different types of data within the same dataset and is particularly useful in cluster analysis or other multivariate statistical techniques. Data can be binary, ordinal, or continuous variables.

  7. Jensen–Shannon divergence - Wikipedia

    en.wikipedia.org/wiki/Jensen–Shannon_divergence

    In probability theory and statistics, the Jensen–Shannon divergence, named after Johan Jensen and Claude Shannon, is a method of measuring the similarity between two probability distributions. It is also known as information radius ( IRad ) [ 1 ] [ 2 ] or total divergence to the average . [ 3 ]

  8. Jim Carrey Clarifies His Retirement Comments: It's 'More ...

    www.aol.com/jim-carrey-clarifies-retirement...

    Jim Carrey isn't swearing off acting for good.. The actor returns to the big screen in the new sequel Sonic the Hedgehog 3 after previously saying in 2022 that he was "being fairly serious" about ...

  9. Content similarity detection - Wikipedia

    en.wikipedia.org/wiki/Content_similarity_detection

    A study was conducted to test the effectiveness of similarity detection software in a higher education setting. One part of the study assigned one group of students to write a paper. These students were first educated about plagiarism and informed that their work was to be run through a content similarity detection system.