Complementary ensemble clustering of biomedical data

Journal of Biomedical Informatics

Volumn 46, Issue 3, 2013, Pages 436-443

  Fodeh, Samah Jamal ^a   Brandt, Cynthia ^a   Luong, Thai Binh ^b   Haddad, Ali ^b   Schultz, Martin ^c   Murphy, Terrence ^a   Krauthammer, Michael ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b YALE UNIVERSITY   (United States)

^c Yale University   (United States)

Author keywords

Clustering; Complementary; Complementary ensemble clustering; Ensemble; Image; Kmeans

Indexed keywords

CLUSTERING; COMPLEMENTARY; ENSEMBLE; ENSEMBLE CLUSTERING; IMAGE; K-MEANS;

RADIOLOGY; SEPARATION;

CLUSTERING ALGORITHMS;

ACCURACY; ALGORITHM; ARTICLE; COMPLEMENTARY ENSEMBLE CLUSTERING; MEDICAL INFORMATICS; METRIC SYSTEM; PRIORITY JOURNAL;

ALGORITHMS; CLINICAL MEDICINE; CLUSTER ANALYSIS; MULTIVARIATE ANALYSIS; RADIOLOGY;

EID: 84878179672     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2013.02.001     Document Type: Article

References (23)

1. Ahmed M.N., Yamany S.M., Mohamed N. A modified fuzzy c-Means algorithm for bias field estimation and segmentation of MRI data. IEEE Trans Med Imaging 2002, 21:193-199.
2. Beli D.M., Ng A.Y., Jordan M.I. Latent Dirichlet allocation. J Mach Learning Res 2003, 3:993-1022.
3. Deerwester S., Dumais S.T., Furneas G.W., et al. Indexing by latent semantic analysis. J Am Soc Inform Sci 1999, 41-6:391-407.
4. Fred ALN. Finding consistent clusters in data partitions. In: Roli F, Kittler J, editors. Workshop on multiple classifier systems. LNCS; 2001. p. 309-18.
5. Fred A., Jain A.K. Combining multiple clustering using evidence accumulation. IEEE Trans Pattern Anal 2005, 27:835-850.
6. Fodeh SJ, Punch WF, Tan PN. Combining statistics and semantics via ensemble model for document clustering. ACM symposium on applied, computing; 2009. p. 1446-50.
7. Hofmann T. Probabilistic latent semantic indexing. The 22nd annual international ACM SIGIR conference on Research and development in information retrieval; 1999. p. 50-7.
8. Topchy A., Jain A.K., Punch W. A mixture model for clustering ensembles. Soc Ind Appl Math 2004, 379-390.
9. Weingessel A, Dimitriadou E, Hornik K. An ensemble method for clustering. The 3rd international workshop on distributed statistical, computing; 2003.
10. Chandra B, Nath S, Mlhothra A. Classification and clustering of cancer images. The 6th international joint conference on, neural networks; 2006. p. 3843-7.
11. Chen Y., Wang L., Dong M. Non-negative matrix factorization for semi-supervised heterogeneous data coclustering. IEEE Trans Knowledge Data Eng 2009, 1459-1474.
12. Comar Mandayam, Tan P.N., Jain A.K. Identifying cohesive subgroups and their correspondences in multiple related networks. Web Intell Intell Agent Technol 2010, 1:476-483.
13. Greene D., Tsymbal A., Bolshakova N., et al. Ensemble clustering in medical diagnostics. IEEE Symp Computer Med Syst 2004, 576-581.
14. Kuncheva L.I., Hadjitodorov S.T. Using diversity in cluster ensembles. IEEE Int Conf Syst Man Cybernet 2004, 2:1214-1219.
15. Xu S., McCusker J., Krauthammer M. Yale Image Finder (YIF): a new search engine for retrieving biomedical images. Bioinformatics 2008, 24-17:1968-1970.
16. Rodriguez-Esteban R., Iossifov I. Figure mining for biomedical research. Bioinformatics 2009, 25-16:2082-2084.
17. Hadjitodorov S.T., Kuncheva L.I., Todorova L.P. Moderate diversity for better cluster ensembles. Inform Fusion J 2006, 7:264-275.
18. Haralick R.M. Statistical and structural approaches to texture. IEEE 1979, 67-5:786-804.
19. Salton G., Wong A., Yang C.S. A vector space model for automatic indexing. Commun ACM 1975, 18-11:613-620.
20. Savova G.K., Masanz J.J., Ogren P.V., et al. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. JAMIA 2010, 17-5:507.
21. [accessed 29.08.10]. http://read.pudn.com/downloads114/sourcecode/graph/479658/Haralick.m__.htm.
22. Porter M.F. An algorithm for suffix stripping. Program: Electron Library Inform Syst 1980, 14-3:130-137.
23. Salton G., Buckley C. Term-weighting approaches in automatic text retrieval. Inf Process Manage 1988, 24-5:513-523.