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1.

Hybrid fuzzy cluster ensemble framework for tumor clustering from biomolecular data.

Yu Z, Chen H, You J, Han G, Li L.

IEEE/ACM Trans Comput Biol Bioinform. 2013 May-Jun;10(3):657-70. doi: 10.1109/TCBB.2013.59.

PMID:
24091399
2.

Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Bio-molecular Data.

Yu Z, Chen H, You J, Han G, Li L.

IEEE/ACM Trans Comput Biol Bioinform. 2013 May 16. [Epub ahead of print]

PMID:
23689925
3.

Knowledge based cluster ensemble for cancer discovery from biomolecular data.

Yu Z, Wongb HS, You J, Yang Q, Liao H.

IEEE Trans Nanobioscience. 2011 Jun;10(2):76-85. doi: 10.1109/TNB.2011.2144997. Epub 2011 Jul 7.

PMID:
21742574
4.

Fuzzy ensemble clustering based on random projections for DNA microarray data analysis.

Avogadri R, Valentini G.

Artif Intell Med. 2009 Feb-Mar;45(2-3):173-83. doi: 10.1016/j.artmed.2008.07.014. Epub 2008 Sep 17.

PMID:
18801650
5.

SC(3): Triple spectral clustering-based consensus clustering framework for class discovery from cancer gene expression profiles.

Zhiwen Y, Le L, Jane Y, Hau-San W, Guoqiang H.

IEEE/ACM Trans Comput Biol Bioinform. 2012 Nov-Dec;9(6):1751-65.

PMID:
22868680
6.

A Scalable Framework For Cluster Ensembles.

Hore P, Hall LO, Goldgof DB.

Pattern Recognit. 2009 May;42(5):676-688.

7.

LCE: a link-based cluster ensemble method for improved gene expression data analysis.

Iam-on N, Boongoen T, Garrett S.

Bioinformatics. 2010 Jun 15;26(12):1513-9. doi: 10.1093/bioinformatics/btq226. Epub 2010 May 5.

8.

The fuzzy clustering analysis based on AFS theory.

Liu X, Wang W, Chai T.

IEEE Trans Syst Man Cybern B Cybern. 2005 Oct;35(5):1013-27.

PMID:
16240775
9.
10.

Graph-based consensus clustering for class discovery from gene expression data.

Yu Z, Wong HS, Wang H.

Bioinformatics. 2007 Nov 1;23(21):2888-96. Epub 2007 Sep 14.

11.

Alpha-cut implemented fuzzy clustering algorithms and switching regressions.

Yang MS, Wu KL, Hsieh JN, Yu J.

IEEE Trans Syst Man Cybern B Cybern. 2008 Jun;38(3):588-603. doi: 10.1109/TSMCB.2008.915537.

PMID:
18558526
12.

DCT-Yager FNN: a novel Yager-based fuzzy neural network with the discrete clustering technique.

Singh A, Quek C, Cho SY.

IEEE Trans Neural Netw. 2008 Apr;19(4):625-44. doi: 10.1109/TNN.2007.911709.

PMID:
18390309
13.

Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.

Maulik U, Mukhopadhyay A, Bandyopadhyay S.

BMC Bioinformatics. 2009 Jan 20;10:27. doi: 10.1186/1471-2105-10-27.

14.

ABC and IFC: modules detection method for PPI network.

Lei X, Wu FX, Tian J, Zhao J.

Biomed Res Int. 2014;2014:968173. doi: 10.1155/2014/968173. Epub 2014 Jun 2.

15.

Fuzzy-rough supervised attribute clustering algorithm and classification of microarray data.

Maji P.

IEEE Trans Syst Man Cybern B Cybern. 2011 Feb;41(1):222-33. doi: 10.1109/TSMCB.2010.2050684. Epub 2010 Jun 10.

PMID:
20542768
16.

Self-adaptive prediction of cloud resource demands using ensemble model and subtractive-fuzzy clustering based fuzzy neural network.

Chen Z, Zhu Y, Di Y, Feng S.

Comput Intell Neurosci. 2015;2015:919805. doi: 10.1155/2015/919805. Epub 2015 Jan 26.

17.

Class discovery from gene expression data based on perturbation and cluster ensemble.

Yu Z, Wong HS.

IEEE Trans Nanobioscience. 2009 Jun;8(2):147-60. doi: 10.1109/TNB.2009.2023321. Epub 2009 Jun 2.

PMID:
19497836
18.

Generalized rough fuzzy c-means algorithm for brain MR image segmentation.

Ji Z, Sun Q, Xia Y, Chen Q, Xia D, Feng D.

Comput Methods Programs Biomed. 2012 Nov;108(2):644-55. doi: 10.1016/j.cmpb.2011.10.010. Epub 2011 Nov 15.

PMID:
22088865
19.

Fuzzy-adaptive-subspace-iteration-based two-way clustering of microarray data.

Shaik J, Yeasin M.

IEEE/ACM Trans Comput Biol Bioinform. 2009 Apr-Jun;6(2):244-59. doi: 10.1109/TCBB.2008.15.

PMID:
19407349
20.

A robust fuzzy local information C-Means clustering algorithm.

Krinidis S, Chatzis V.

IEEE Trans Image Process. 2010 May;19(5):1328-37. doi: 10.1109/TIP.2010.2040763. Epub 2010 Jan 19.

PMID:
20089475
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