Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model Wang, Jin, Liu, Ping, She, Mary F.H., Nahavandi, Saeid and Kouzani, Abbas 2013, Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model, Computer methods and programs in biomedicine, vol. 111, no. 3, pp. 629-641, doi: 10.1016/j.cmpb.2013.05.022. Attached Files Name Description MIMEType Size Downloads Title Biomedical time series clustering based on non-negative sparse coding and probabilistic topic model Author(s) Wang, Jin Liu, Ping She, Mary F.H. orcid.org/0000-0001-8191-0820 Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Kouzani, Abbas orcid.org/0000-0002-6292-1214 Journal name Computer methods and programs in biomedicine Volume number 111 Issue number 3 Start page 629 End page 641 Total pages 13 Publisher Elsevier Place of publication Amsterdam, The Netherlands Publication date 2013 ISSN 0169-2607 1872-7565 Keyword(s) Bag-of-Words probabilistic topic model sparse coding unsupervised learning Language eng DOI 10.1016/j.cmpb.2013.05.022 Field of Research 080101 Adaptive Agents and Intelligent Robotics Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2013, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30055372 Document type: Journal Article Collections: Centre for Intelligent Systems Research School of Engineering Institute for Frontier Materials Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 27 Aug 2013, 12:08:35 EST Thu, 29 Aug 2013, 11:39:20 EST Fri, 13 Sep 2013, 10:48:52 EST Tue, 08 Apr 2014, 13:14:06 EST Wed, 09 Apr 2014, 08:19:48 EST Wed, 27 Aug 2014, 23:40:31 EST Wed, 18 Nov 2015, 07:34:54 EST Filtered Full Citation counts:   Cited 15 times in TR Web of Science Cited 17 times in Scopus Search Google Scholar Access Statistics: 465 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Tue, 27 Aug 2013, 12:08:35 EST

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