{"id":8240,"date":"2021-03-19T11:50:04","date_gmt":"2021-03-19T16:50:04","guid":{"rendered":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/?p=8240"},"modified":"2026-02-18T11:29:45","modified_gmt":"2026-02-18T16:29:45","slug":"divisive-clustering-accepted-to-mldm","status":"publish","type":"post","link":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/2021\/03\/19\/divisive-clustering-accepted-to-mldm\/","title":{"rendered":"DIVISIVE CLUSTERING ACCEPTED TO MLDM!"},"content":{"rendered":"<p>Congratulations to our labmates and collaborators: Diandra Prioleau, Kiana Alikhademi, Armisha Roberts, <strong>Joshua Peeples, Alina Zare<\/strong> and Juan Gilbert!\u00a0 Their paper,<strong> &#8220;Application of Divisive Clustering for Reducing Bias in Imbalanced Data&#8221;<\/strong> was recently accepted to the <strong><em>the 2021 International Conference on Machine Learning and Data Mining (MLDM).<\/em><\/strong><\/p>\n<p>In their paper, the authors propose the use of Applications Quest (AQ) as an under-sampling technique to combat the challenge of non-diverse and non-representative training data.\u00a0<\/p>\n<p>Check out the paper <a href=\"https:\/\/faculty.eng.ufl.edu\/machine-learning\/2021\/03\/application-of-divisive-clustering-for-reducing-bias-in-imbalanced-data\/\">here<\/a>!\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Congratulations to our labmates and collaborators: Diandra Prioleau, Kiana Alikhademi, Armisha Roberts, Joshua Peeples, Alina Zare and Juan Gilbert!\u00a0 Their paper, &#8220;Application of Divisive Clustering for Reducing Bias in Imbalanced Data&#8221; was recently accepted to the the 2021 International Conference on Machine Learning and Data Mining (MLDM). In their paper, the authors propose the use [&hellip;]<\/p>\n","protected":false},"author":28,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"single-templates\/single-sidebar-none.php","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"featured_post":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[9],"tags":[123,125,159,375,431,777],"class_list":["post-8240","post","type-post","status-publish","format-standard","hentry","category-news","tag-bias","tag-bias-reduction","tag-clustering","tag-imbalanced-data","tag-machine-learning","tag-undersampling"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/8240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/users\/28"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/comments?post=8240"}],"version-history":[{"count":1,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/8240\/revisions"}],"predecessor-version":[{"id":15171,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/8240\/revisions\/15171"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/media?parent=8240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/categories?post=8240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/tags?post=8240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}