Talk:Nearest-neighbor chain algorithm/GA3: Difference between revisions

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GA Review: comments/review
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#:A. It contains a list of all references (sources of information), presented in accordance with [[WP:FNNR|the layout style guideline]]: {{GAList/check|yes}}
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#:B. All [[WP:Inline citation|in-line citations]] are from [[WP:RS|reliable sources]], including those for direct quotations, statistics, published opinion, counter-intuitive or controversial statements that are challenged or [[Wikipedia:Likely to be challenged|likely to be challenged]], and contentious material relating to living persons—science-based articles should follow the [[Wikipedia:Scientific citation guidelines|scientific citation guidelines]]: {{GAList/check|on holdyes}}
#:: <s>Still checking these out - trying to be thorough.</s> [[User:Shearonink|Shearonink]] ([[User talk:Shearonink|talk]]) 05:48, 5 March 2017 (UTC)
#:::Good to go. [[User:Shearonink|Shearonink]] ([[User talk:Shearonink|talk]]) 16:33, 5 March 2017 (UTC)
#:C. It contains [[Wikipedia:No original research|no original research]]: {{GAList/check|on holdyes}}
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#:: No problems. [[User:Shearonink|Shearonink]] ([[User talk:Shearonink|talk]]) 16:33, 5 March 2017 (UTC)
#:D. It contains no [[Wikipedia:Copyrights|copyright violations]] nor [[Wikipedia:Plagiarism|plagiarism]]: {{GAList/check|yes}}
#:: Passed the copyvio tool with flying colors. [[User:Shearonink|Shearonink]] ([[User talk:Shearonink|talk]]) 04:22, 3 March 2017 (UTC)
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#:B. It stays [[Wikipedia:Article size|focused on the topic]] without going into unnecessary detail (see [[Wikipedia:Summary style|summary style]]): {{GAList/check|on hold}}
#:: I think so, but am reading through a few more times to make sure. [[User:Shearonink|Shearonink]] ([[User talk:Shearonink|talk]]) 16:33, 5 March 2017 (UTC)
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#Is it '''[[WP:NPOV|neutral]]'''?
#:It represents viewpoints fairly and without editorial bias, giving due weight to each: {{GAList/check|yes}}
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{{ping|David Eppstein}} Was wondering about the above question. Thanks, [[User:Shearonink|Shearonink]] ([[User talk:Shearonink|talk]]) 05:48, 5 March 2017 (UTC)
:Yes, thanks for the suggestion. The short answer is that clustering is fundamental for understanding all kinds of data — e.g. trying to understand which different diseases cause similar collections of symptoms, trying to group customers by their interests, etc. Hierarchical clustering is good either when the grouping of data that you want to construct is multi-level or tree-like (like Wikipedia categories) or when you don't know how many groups to make (so you make groupings at all levels of refinement and then figure out which level is the right one later). A common use for some of the clustering algorithms described here is to reconstruct evolutionary trees by using genetic distance. But all this should really be in the article (in the background section), not here — I plan on adding it when I can take the time to look for appropriate sources to use for it. —[[User:David Eppstein|David Eppstein]] ([[User talk:David Eppstein|talk]]) 07:58, 5 March 2017 (UTC)
::Just trying to understand the subject a bit more, so thanks. And you are looking to add this type of content in the future? Ok, good, that was probably going to be a "recommendation for future improvements" from me. The article really looks to be in good shape, I will be doing a few more readthroughs to see if there's anything I missed, but should be able to finish up in the next day or so. [[User:Shearonink|Shearonink]] ([[User talk:Shearonink|talk]]) 16:33, 5 March 2017 (UTC)