{"id":654,"date":"2021-01-14T21:13:25","date_gmt":"2021-01-14T19:13:25","guid":{"rendered":"http:\/\/journals.khnu.km.ua\/vestnik\/?p=654"},"modified":"2021-01-14T21:20:55","modified_gmt":"2021-01-14T19:20:55","slug":"%d0%b7%d0%b0%d1%81%d1%82%d0%be%d1%81%d1%83%d0%b2%d0%b0%d0%bd%d0%bd%d1%8f-%d0%ba%d0%bb%d0%b0%d1%81%d1%82%d0%b5%d1%80%d0%b8%d0%b7%d0%b0%d1%86%d1%96%d1%97-%d0%bd%d0%b0-%d0%be%d1%81%d0%bd%d0%be%d0%b2","status":"publish","type":"post","link":"https:\/\/journals.khnu.km.ua\/vestnik\/?p=654","title":{"rendered":"\u0417\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044f \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0438\u0437\u0430\u0446\u0456\u0457 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u0441\u0430\u043c\u043e\u043e\u0440\u0433\u0430\u043d\u0456\u0437\u0430\u0446\u0456\u0439\u043d\u0438\u0445 \u043a\u0430\u0440\u0442 \u043a\u043e\u0445\u043e\u043d\u0435\u043d\u0430 \u0434\u043b\u044f \u0440\u043e\u0437\u043f\u043e\u0434\u0456\u043b\u0443 \u043a\u043e\u0440\u0438\u0441\u0442\u0443\u0432\u0430\u0447\u0456\u0432 \u043d\u0430 \u0433\u0440\u0443\u043f\u0438"},"content":{"rendered":"

<\/p>\n

\u0417\u0410\u0421\u0422\u041e\u0421\u0423\u0412\u0410\u041d\u041d\u042f \u041a\u041b\u0410\u0421\u0422\u0415\u0420\u0418\u0417\u0410\u0426\u0406\u0407 \u041d\u0410 \u041e\u0421\u041d\u041e\u0412\u0406 \u0421\u0410\u041c\u041e\u041e\u0420\u0413\u0410\u041d\u0406\u0417\u0410\u0426\u0406\u0419\u041d\u0418\u0425 \u041a\u0410\u0420\u0422 \u041a\u041e\u0425\u041e\u041d\u0415\u041d\u0410 \u0414\u041b\u042f \u0420\u041e\u0417\u041f\u041e\u0414\u0406\u041b\u0423 \u041a\u041e\u0420\u0418\u0421\u0422\u0423\u0412\u0410\u0427\u0406\u0412 \u041d\u0410 \u0413\u0420\u0423\u041f\u0418<\/p>\n

APPLICATION OF CLUSTERIZATION ON THE BASIS OF KOHANEN\u2019S SELF-ORGANIZING MAPS FOR DISTRIBUTION OF USERS TO GROUPS<\/p>\n

<\/a> \u0421\u0442\u043e\u0440\u0456\u043d\u043a\u0438 100-105. \u041d\u043e\u043c\u0435\u0440 \u21161, 2020 (261)<\/strong><\/p>\n

\u0410\u0432\u0442\u043e\u0440\u0438:<\/strong>
\n\u0421\u0418\u041d\u042c\u041a\u041e \u0410. \u0406.,
\n\u041f\u0415\u041b\u0415\u0429\u0418\u0428\u0418\u041d \u0410. \u041c.
\n\u041d\u0430\u0446\u0456\u043e\u043d\u0430\u043b\u044c\u043d\u0438\u0439 \u0443\u043d\u0456\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442 \u201c\u041b\u044c\u0432\u0456\u0432\u0441\u044c\u043a\u0430 \u043f\u043e\u043b\u0456\u0442\u0435\u0445\u043d\u0456\u043a\u0430\u201d
\nSYNKO A.,
\nPELESHCHYSHYN A.
\nLviv Polytechnic National University<\/p>\n

DOI<\/strong>: https:\/\/www.doi.org\/10.31891\/2307-5740-2020-278-1-19<\/a>
\n\u041d\u0430\u0434\u0456\u0439\u0448\u043b\u0430 \/ Paper received<\/strong>: 12.01.2020
\n\u041d\u0430\u0434\u0440\u0443\u043a\u043e\u0432\u0430\u043d\u0430 \/ Paper Printed<\/strong>: 10.03.2020<\/p>\n

\u0410\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u043c\u043e\u0432\u043e\u044e \u043e\u0440\u0438\u0433\u0456\u043d\u0430\u043b\u0443.<\/strong><\/p>\n

\u0412 \u0440\u043e\u0431\u043e\u0442\u0456 \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0438 \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f, \u043e\u0442\u0440\u0438\u043c\u0430\u043d\u0438\u0445 \u0437\u0430\u0432\u0434\u044f\u043a\u0438 \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u044e \u043e\u0434\u043d\u043e\u0433\u043e \u0437 \u043f\u0440\u043e\u0432\u0456\u0434\u043d\u0438\u0445 \u0437\u0430\u0441\u043e\u0431\u0456\u0432 \u0430\u043d\u0430\u043b\u0456\u0437\u0443 \u0434\u0430\u043d\u0438\u0445 \u2013 \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0438\u0437\u0430\u0446\u0456\u0457. \u0414\u043b\u044f \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0438\u0437\u0430\u0446\u0456\u0457 \u0434\u0430\u043d\u0438\u0445 \u0431\u0443\u043b\u0438 \u0437\u0430\u0441\u0442\u043e\u0441\u043e\u0432\u0430\u043d\u0456 \u0448\u0442\u0443\u0447\u043d\u0456 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u0456 \u043c\u0435\u0440\u0435\u0436\u0456 \u2013 \u043c\u0435\u0440\u0435\u0436\u0430 \u041a\u043e\u0445\u043e\u043d\u0435\u043d\u0430. \u0414\u043b\u044f \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u043d\u044f \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f \u043e\u0431\u0440\u0430\u043d\u043e \u0444\u043e\u0440\u0443\u043c, \u0449\u043e \u043c\u0456\u0441\u0442\u0438\u0442\u044c \u0441\u043f\u0456\u043b\u044c\u043d\u043e\u0442\u0438, \u043d\u0430 \u043f\u0440\u0438\u043b\u0430\u0434\u0456 \u043e\u0434\u043d\u0456\u0454\u0457 \u0437 \u044f\u043a\u0438\u0445 \u0437\u0456\u0431\u0440\u0430\u043d\u0456 \u043e\u0441\u043e\u0431\u0438\u0441\u0442\u0456 \u0434\u0430\u043d\u0456 \u043a\u043e\u0440\u0438\u0441\u0442\u0443\u0432\u0430\u0447\u0456\u0432, \u0432\u043f\u043e\u0440\u044f\u0434\u043a\u043e\u0432\u0430\u043d\u0456 \u0437\u0430 \u0433\u0440\u0443\u043f\u0430\u043c\u0438, \u0432\u0456\u0434\u043f\u043e\u0432\u0456\u0434\u043d\u043e \u0437\u0430 \u0457\u0445 \u043f\u0435\u0440\u0435\u0431\u0443\u0432\u0430\u043d\u043d\u044f\u043c \u043d\u0430 \u0444\u043e\u0440\u0443\u043c\u0456, \u0442\u0430 \u043f\u043e\u0431\u0443\u0434\u043e\u0432\u0430\u043d\u0430 \u043a\u0430\u0440\u0442\u0430 \u041a\u043e\u0445\u043e\u043d\u0435\u043d\u0430 \u0434\u043b\u044f \u043a\u0440\u0430\u0449\u043e\u0433\u043e \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044f, \u0440\u043e\u0437\u0443\u043c\u0456\u043d\u043d\u044f \u0442\u0430 \u0441\u043f\u0440\u0438\u0439\u043d\u044f\u0442\u0442\u044f \u0434\u0430\u043d\u0438\u0445. \u041d\u0430 \u043e\u0441\u043d\u043e\u0432\u0456 \u043e\u0442\u0440\u0438\u043c\u0430\u043d\u0438\u0445 \u0434\u0430\u043d\u0438\u0445 \u0434\u043e\u0441\u043b\u0456\u0434\u0436\u0435\u043d\u043d\u044f \u0431\u0443\u043b\u0430 \u043f\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0430 \u043e\u043f\u0442\u0438\u043c\u0456\u0437\u0430\u0446\u0456\u044f \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0456\u0432 \u0442\u0430 \u043f\u0440\u043e\u0433\u043d\u043e\u0437\u0443\u0432\u0430\u043d\u043d\u044f. \u0422\u0430\u043a\u043e\u0436 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0456 \u043f\u0435\u0440\u0435\u0432\u0430\u0433\u0438 \u0442\u0430 \u043d\u0435\u0434\u043e\u043b\u0456\u043a\u0438 \u043f\u0440\u0438 \u0437\u0430\u0441\u0442\u043e\u0441\u0443\u0432\u0430\u043d\u043d\u0456 \u0434\u0430\u043d\u043e\u0433\u043e \u043f\u0456\u0434\u0445\u043e\u0434\u0443.<\/p>\n

\u0420\u043e\u0437\u0448\u0438\u0440\u0435\u043d\u0430 \u0430\u043d\u043e\u0442\u0430\u0446\u0456\u044f \u0430\u043d\u0433\u043b\u0456\u0439\u0441\u044c\u043a\u043e\u044e \u043c\u043e\u0432\u043e\u044e.<\/strong><\/p>\n

Today the World Wide Web contains many information, data which helps to solve various issues. However, we have a problem with how this information is reliable. Therefore, the main aim of this work is the analysis of users who have published materials in virtual communities. One of the leading methods of analysis data is clustering. Cluster analysis is useful when you need to classify a large amount of information. For the clustering was selected CyberForum which have communities. Data are from the community that contains 80 users. Users divided into three groups, which are different from each other by time of stay in the forum (junior group \u2013 users who have been using the online service for less than a year; middle group \u2013 users who have been using the online service from one to five years; senior group \u2013 users who have been using the online service from five years and more). Clustering feature of a user are the number of posts he has written, experience in the field and reviews from others users. So, we have three groups of users with three characteristics for clustering. For solving the task, we chose Kohonen neural network (KNN). This method has its own advantages and disadvantages which I provided. The Python language selected for software implementation. Thousand iterative trainings selected for clustering. Because we have a lot of data for analysis, they have been taken out in a separate file. The results of study is designed map. So, we can do the next conclusions. Firstly, every user can be useful, no matter their age, job post, experience and time spent in forum or community. Secondly, for better selecting data about users\u2019 developers of software (for forums) need to encourage people, which registered on site enter more information about yourself. Thirdly, developers need to create more user selection functions (filters) for search materials.<\/p>\n

\u041a\u043b\u044e\u0447\u043e\u0432\u0456 \u0441\u043b\u043e\u0432\u0430:<\/strong> \u0430\u043d\u0430\u043b\u0456\u0437 \u043a\u043e\u0440\u0438\u0441\u0442\u0443\u0432\u0430\u0447\u0456\u0432, \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0438\u0437\u0430\u0446\u0456\u044f, \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u043d\u0438\u0439 \u0430\u043d\u0430\u043b\u0456\u0437, \u043d\u0430\u0432\u0447\u0430\u043d\u043d\u044f \u0431\u0435\u0437 \u0441\u0443\u043f\u0435\u0440\u0432\u0456\u0437\u043e\u0440\u0430, \u043c\u0435\u0440\u0435\u0436\u0430 \u041a\u043e\u0445\u043e\u043d\u0435\u043d\u0430, \u0444\u043e\u0440\u0443\u043c, \u0441\u043f\u0456\u043b\u044c\u043d\u043e\u0442\u0430, \u043c\u0435\u0440\u0435\u0436\u0430 \u0406\u043d\u0442\u0435\u0440\u043d\u0435\u0442.<\/p>\n

References.<\/strong><\/p>\n

1. Everitt B., Landau S., Leese M., Stahl D. Cluster Analysis. Wiley, 2010. 346 p.
\n2. Cherezov D. S. Obzor osnovnyh metodov klassifikacii i klasterizacii dannyh \/ D. S. Cherezov, N. A.Tyukachev \/\/ Vestnik VGU, seriya: sistemnyj analiz i informacionnye tehnologii. \u2013 2009. \u2013 \u2116 2. \u2013 S. 25\u201329.
\n3. Tkachenko R. O. Neiromerezhevi zasoby shtuchnoho intelektu : navchalnyi posibnyk \/ Tkachenko R. O., Tkachenko P. R., Izonin I. V. \u2013 Lviv : Vydavnytstvo Lvivskoi politekhniky, 2017. \u2013 204 s.
\n4. Tehnologii analiza dannyh: Data Mining, Visual Mining, Text Mining, OLAP. \/ [Barsegyan.A. A., Kupriyanov M. S., Stepanenko V. V., Holod I. I.]. \u2013 2-e izd. \u2013 SPb : BHV-Peterburg, 2007. \u2013 384 s.
\n5. Wang J. H., Rau J. D., and Liu W. J. Two-stage clustering via neural networks. IEEE Transactions on Neural Networks, 2003, Vol. 14, pp. 606\u2013615.
\n6. Golovko V.A. Nejronnye seti: obuchenie, organizaciya i primenenie. Kn. 4 : ucheb. posobie dlya vuzov \/ obsh. red. A.I. Galushkina. \u2013 Moskva : IPRZhR, 2001. \u2013 256 s. \u2013 (Nejrokompyutery i ih primenenie).
\n7. Braian Solis. Rol suchasnykh sotsialnykh merezh v sotsiumi ta politychnykh tekhnolohiiakh \/ Braian Solis \u2013 Moskva : Dyrekt- Medya, 2012.
\n8. Paklin N.B. Biznes-analitika: ot dannyh k znaniyam : ucheb. posobie \/ Paklin N.B., Oreshkov V.I. \u2013 2-e izd., pererab. i dop. \u2013 SPb : Piter, 2013. \u2013 704 s.
\n9. Debok G. Analiz finansovyh dannyh s pomoshyu samoorganizuyushihsya kart \/ G. Debok, T. Kohonen ; per. s angl. \u2013 M. : Alpina, 2001. \u2013 317 s.
\n10. Kohonen T. Samoorganizuyushiesya karty \/ T. Kohonen ; per. s angl. V. Ageev ; pod red. Yu. Tyumenceva. \u2013 M. : Binom, 2008. \u2013 656 s.<\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[7],"tags":[],"_links":{"self":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/654"}],"collection":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=654"}],"version-history":[{"count":5,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/654\/revisions"}],"predecessor-version":[{"id":659,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=\/wp\/v2\/posts\/654\/revisions\/659"}],"wp:attachment":[{"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/journals.khnu.km.ua\/vestnik\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}