{"id":1214,"date":"2015-10-11T15:57:38","date_gmt":"2015-10-11T20:57:38","guid":{"rendered":"https:\/\/faculty.eng.ufl.edu\/alina-zare\/?p=1214"},"modified":"2026-02-18T11:28:00","modified_gmt":"2026-02-18T16:28:00","slug":"glenn2015bayesian","status":"publish","type":"post","link":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/2015\/10\/11\/glenn2015bayesian\/","title":{"rendered":"Bayesian fuzzy clustering"},"content":{"rendered":"<h2>Abstract:<\/h2>\n<p>We present a Bayesian probabilistic model and inference algorithm for fuzzy clustering that provides expanded capabilities over the traditional Fuzzy C-Means approach. Additionally, we extend the Bayesian Fuzzy Clustering model to handle a variable number of clusters and present a particle filter inference technique to estimate the model parameters including the number of clusters. We show results on synthetic and real data and compare with other approaches.<\/p>\n<h2>Links:<\/h2>\n<p> <a href=\"\/\/doi.org\/10.1109\/TFUZZ.2014.2370676\"><img decoding=\"async\" border=\"2\" alt=\"IEEE Link\" src=\"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-content\/uploads\/sites\/759\/2016\/09\/ieee.jpg\" height=\"50\"><\/a> <a href=\"https:\/\/github.com\/GatorSense\/Publications\/blob\/master\/glenn2015bayesian.pdf\"><img decoding=\"async\" border=\"2\" alt=\"PDF\" src=\"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-content\/uploads\/sites\/759\/2016\/09\/pdflogo-e1482256801729.png\" height=\"50\"><\/a> <a href=\"https:\/\/github.com\/GatorSense\/BayesianFuzzyClustering\"><img decoding=\"async\" border=\"2\" alt=\"\u201cCode\" src=\"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-content\/uploads\/sites\/759\/2016\/09\/GitHub-Mark-e1482256611783.png\" height=\"50\"><\/a><\/p>\n<h2>Citation:<\/h2>\n<pre><code>T. C. Glenn, A. Zare, and P. Gader, \u201cBayesian fuzzy clustering,\u201d IEEE Trans. Fuzzy Syst., vol. 23, iss. 5, pp. 1545-1561, 2015. <\/code><\/pre>\n<pre><code>@Article{glenn2015bayesian,\nTitle = {Bayesian fuzzy clustering},\nAuthor = {Glenn, Taylor C. and Zare, Alina and Gader, Paul},\nJournal = {IEEE Trans. Fuzzy Syst.},\nYear = {2015},\nMonth = {Oct.},\nNumber = {5},\nPages = {1545-1561},\nVolume = {23},\nDoi = {10.1109\/TFUZZ.2014.2370676},\n}\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Abstract: We present a Bayesian probabilistic model and inference algorithm for fuzzy clustering that provides expanded capabilities over the traditional Fuzzy C-Means approach. Additionally, we extend the Bayesian Fuzzy Clustering model to handle a variable number of clusters and present a particle filter inference technique to estimate the model parameters including the number of clusters. [&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":[19],"tags":[159,659],"class_list":["post-1214","post","type-post","status-publish","format-standard","hentry","category-journal_paper","tag-clustering","tag-segmentation"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/1214","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=1214"}],"version-history":[{"count":1,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/1214\/revisions"}],"predecessor-version":[{"id":14601,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/posts\/1214\/revisions\/14601"}],"wp:attachment":[{"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/media?parent=1214"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/categories?post=1214"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/faculty.eng.ufl.edu\/machine-learning\/wp-json\/wp\/v2\/tags?post=1214"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}