{"id":4547,"date":"2025-06-09T12:47:54","date_gmt":"2025-06-09T10:47:54","guid":{"rendered":"https:\/\/www.escience.ac.za\/?p=4547"},"modified":"2025-06-09T12:47:55","modified_gmt":"2025-06-09T10:47:55","slug":"customer-segmentation-using-the-self-organizing-map-and-its-variants","status":"publish","type":"post","link":"https:\/\/www.escience.ac.za\/index.php\/2025\/06\/09\/customer-segmentation-using-the-self-organizing-map-and-its-variants\/","title":{"rendered":"Customer segmentation using the self-organizing map and its variants"},"content":{"rendered":"<p><strong>Researcher<\/strong>: Mufunwa Nemushungwa, University of the Witwatersrand, Johannesburg<br><strong>Supervisor<\/strong>: Dr Martins Arasomwan, University of the Witwatersrand, Johannesburg<\/p><p>This research compares three variations of SOM: standard SOM, SOM combined with K-means, and SOM paired with the social spider optimization (SSO) algorithm in performing customer segmentation. The results show that combined SOM with SSO algorithm outperforms the the paired SOM and K-means in<br>enhancing the SOM clustering performance.dress road damage problems.<\/p><div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"749\" src=\"https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-1024x749.jpg\" alt=\"\" class=\"wp-image-4552\" srcset=\"https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-1024x749.jpg 1024w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-300x220.jpg 300w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-768x562.jpg 768w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-1536x1124.jpg 1536w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-2048x1499.jpg 2048w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-370x270.jpg 370w, https:\/\/www.escience.ac.za\/wp-content\/uploads\/2025\/06\/2187694713-Mufunwa-Nemushungwa-41310_Mufunwa_Nemushungwa_1092173_Capstone_Project_Poster_18079_418220613-600x439.jpg 600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div><p>&nbsp;<\/p><p><\/p>","protected":false},"excerpt":{"rendered":"<p>Researcher: Mufunwa Nemushungwa, University of the Witwatersrand, JohannesburgSupervisor: Dr Martins Arasomwan, University of the Witwatersrand, Johannesburg This research compares three variations of SOM: standard SOM, SOM combined with K-means, and SOM paired with the social spider optimization (SSO) algorithm in performing customer segmentation. The results show that<\/p>\n","protected":false},"author":3,"featured_media":4407,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-4547","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-capstone-projects"],"_links":{"self":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/4547","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/comments?post=4547"}],"version-history":[{"count":1,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/4547\/revisions"}],"predecessor-version":[{"id":4553,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/4547\/revisions\/4553"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media\/4407"}],"wp:attachment":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media?parent=4547"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/categories?post=4547"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/tags?post=4547"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}