{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,19]],"date-time":"2025-04-19T04:50:29Z","timestamp":1745038229399},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2015,4,1]],"date-time":"2015-04-01T00:00:00Z","timestamp":1427846400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"City University Strategic Research","award":["7002914"],"award-info":[{"award-number":["7002914"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2015,4]]},"DOI":"10.1109\/tnnls.2014.2326427","type":"journal-article","created":{"date-parts":[[2014,10,7]],"date-time":"2014-10-07T18:45:08Z","timestamp":1412707508000},"page":"798-808","source":"Crossref","is-referenced-by-count":7,"title":["Topology-Based Clustering Using Polar Self-Organizing Map"],"prefix":"10.1109","volume":"26","author":[{"family":"Lu Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tommy W. S.","family":"Chow","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eden W. M.","family":"Ma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2007.909556"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(01)00040-8"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/S0031-3203(03)00237-1"},{"key":"ref32","first-page":"305","article-title":"Kohonen’s self organizing feature maps for exploratory data analysis","author":"ultsch","year":"1990","journal-title":"Proc Int Conf Neural Netw"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/2.33"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.21"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/72.846731"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005409"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2007.12.011"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2107527"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2003.08.014"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/304182.304187"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2008.32"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2005.845141"},{"key":"ref1","author":"duda","year":"2001","journal-title":"Pattern Classification"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2007.909595"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/72.159066"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/01969727308546046"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/72.159067"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.1993.390282"},{"key":"ref26","first-page":"58","article-title":"An efficient approach to clustering in large multimedia data bases with noise","author":"hinneburg","year":"1998","journal-title":"Proc Int Conf Knowl Discovery Data Mining"},{"key":"ref25","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","author":"ester","year":"1996","journal-title":"Proc Int'l Conf Knowledge Discovery and Data Mining"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/S0893-6080(00)00039-3"},{"key":"ref51","year":"2008","journal-title":"UCI Machine Learning Repository"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1145\/276304.276312"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1145\/235968.233324","article-title":"BIRCH: An efficient data clustering method for very large databases","author":"zhang","year":"1996","journal-title":"Proc ACM SIGMOD Int Conf Manag Data"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/3477.891145"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2010.2104319"},{"key":"ref52","year":"2009","journal-title":"Matlab Codes and Datasets for Feature Learning"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"2006","DOI":"10.1109\/TPAMI.2010.15","article-title":"Detecting the number of clusters in n-way probabilistic clustering","volume":"32","author":"he","year":"2010","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/2.781637"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2011.2178323"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2003.1217600"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102389"},{"key":"ref14","first-page":"1","article-title":"Bayesian agglomerative clustering with coalescents","volume":"20","author":"teh","year":"2007","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3285-6_20"},{"key":"ref16","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","author":"macqueen","year":"1967","journal-title":"Proc 5th Berkeley Symp Math Statist Probab"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"1451","DOI":"10.1007\/3-540-48311-X_205","article-title":"Parallel K-means clustering for large data sets","author":"stoffel","year":"1999","journal-title":"Proc 5th Int Euro Parallel Process"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-44533-1_24"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1009769707641"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF02614317"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1109\/RBME.2010.2083647","article-title":"Clustering algorithm in biomedical research: A review","volume":"3","author":"xu","year":"2010","journal-title":"IEEE Rev Biomed Eng"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/26.4.354"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/9.4.373"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2005.27"},{"key":"ref7","author":"jain","year":"1988","journal-title":"Algorithms for clustering data"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/72.238311"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"2117","DOI":"10.1109\/TNN.2011.2172457","article-title":"Symmetric nonnegative matrix factorization: Algorithms and applications to probabilistic clustering","volume":"22","author":"he","year":"2011","journal-title":"IEEE Trans Neural Netw"},{"key":"ref46","first-page":"87","article-title":"Exploratory observation machine (XOM) with Kullback–Leibler divergence for dimensionality reduction and visualization","author":"bunte","year":"2010","journal-title":"Proc Eur Symp Artif Neural Netw"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.09.025"},{"key":"ref48","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref47","first-page":"833","article-title":"Stochastic neighbor embedding","volume":"15","author":"hinton","year":"2003","journal-title":"Advances in neural information processing systems"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1109\/TNNLS.2012.2201167","article-title":"SOMKE: Kernel density estimation over data streams by sequences of self-organizing maps","volume":"23","author":"cao","year":"2012","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2190768"},{"key":"ref44","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-97966-8","author":"kohonen","year":"1997","journal-title":"Self-Organizing Maps"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/BF00337288"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/7061550\/06917041.pdf?arnumber=6917041","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T16:41:41Z","timestamp":1642005701000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/6917041\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4]]},"references-count":56,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2014.2326427","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,4]]}}}