A framework for density weighted kernel fuzzy c-means on gene expression data

Wang, Yu, Angelova Turkedjieva, Maia and Zhang, Yang 2013, A framework for density weighted kernel fuzzy c-means on gene expression data, in BIC-TA 2013 : Proceedings of the Eighth International Conference on Bio-Inspired Computing: Theories and Applications, Springer Verlag, Berlin, Germany, pp. 453-461, doi: 10.1007/978-3-642-37502-6_54.

Attached Files
Name Description MIMEType Size Downloads

Title A framework for density weighted kernel fuzzy c-means on gene expression data
Author(s) Wang, Yu
Angelova Turkedjieva, MaiaORCID iD for Angelova Turkedjieva, Maia orcid.org/0000-0002-0931-0916
Zhang, Yang
Conference name Anhui University of Science and Technology. Conference (8th: 2013 : HuangShan, China)
Conference location HuangShan, China
Conference dates 2013/07/12 - 2013/07/14
Title of proceedings BIC-TA 2013 : Proceedings of the Eighth International Conference on Bio-Inspired Computing: Theories and Applications
Editor(s) Yin, Zhixiang
Pan, Linqiang
Fang, Xianwen
Publication date 2013
Series Anhui University of Science and Technology Conference
Start page 453
End page 461
Total pages 9
Publisher Springer Verlag
Place of publication Berlin, Germany
Keyword(s) fuzzy clustering
parzen density estimation
gene expression data
ISBN 9783642375019
ISSN 2194-5357
Language eng
DOI 10.1007/978-3-642-37502-6_54
HERDC Research category E1.1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2013, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30092693

Document type: Conference Paper
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 0 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 57 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Thu, 26 Oct 2017, 14:14:00 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.