Talk:Similarity measure

Latest comment: 2 years ago by Msuzen in topic Change of page name to Similarity function

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This page is biased towards bioinformatics. It really needs editing to reflect its general use in mathematics.

--Phoxhat 15:00, 14 May 2006 (UTC)Reply

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the following content...

--222.64.209.26 (talk) 04:08, 20 November 2009 (UTC)Reply

Change of page name to Similarity function

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A similarity can be established with metric too. So Similarity measure should read Similarity function. --mcyp (talk) 06:09, 1 December 2021 (UTC)Reply

Incomplete copying, thought or just jumbled paragraphs?

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In the following paragraph, the phrasing struck me as perhaps having been lifted from another webpage. (Ironic to me because I'm looking up similarity matrices for use in text comparison!) I'm now thinking it was just abandoned during editing. I've highlighted the copy I find "off" or lacking context.

Amino acid similarity matrices are more complicated, because there are 20 amino acids coded for by the genetic code, and so a larger number of possible substitutions. Therefore, the similarity matrix for amino acids contains 400 entries (although it is usually symmetric). The first approach scored all amino acid changes equally. A later refinement was to determine amino acid similarities based on how many base changes were required to change a codon to code for that amino acid. This model is better, but it doesn't take into account the selective pressure of amino acid changes. Better models took into account the chemical properties of amino acids.

Someone who knows bioinformatics better than I do should correct it and the paragraph which follows it so it makes more sense. --Dhugot (talk) 07:37, 21 May 2013 (UTC)Reply

German Language Link guides to different article

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So if you change language to German, https://en.wikipedia.org/wiki/String_metric in German appears; NOT similarity matrix --141.23.86.182 (talk) 18:37, 21 January 2016 (UTC)Reply

That was a mistake in dewiki. Fixed now. QVVERTYVS (hm?) 21:33, 21 January 2016 (UTC)Reply