Top

Soft Computing

Published in:

28-05-2016 | Focus

Effective fuzzy possibilistic c-means: an analyzing cancer medical database

Authors: S. R. Kannan, R. Devi, S. Ramathilagam, T. P Hong

Published in: Soft Computing | Issue 11/2017

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Using clustering analysis for identifying cancer types in high-dimensional microarray gene expression cancer database is extremely difficult task because of high-dimensionality gene with noise. Most of the existing clustering methods for microarray gene expression cancer database to achieve types of cancers often hamper the interpretability of the structure. Hence, this paper presents effective fuzzy c-means by incorporating the membership function of fuzzy c-means, the typicality of possibilistic c-means approaches, normed kernel-induced distance, to find cancer subtypes in the microarray gene expression cancer database. This paper successfully finds the subtypes of cancers in microarray gene expression cancer database using the proposed method. The superiority of the proposed method has been proved through clustering accuracy.

previous article Using trading mechanisms to investigate large futures data and their implications to market trends

next article A patent quality classification model based on an artificial immune system

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Alon U (1999) Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays. Proc Natl Acad Sci USA 96(12):6745–6750CrossRef

Bezdek JC (1981) Pattern recognition with Fuzzy objective function algorithms. Plenum Press, New YorkCrossRefMATH

Chen H-L, Yang B, Liu J, Liu D-Y (2011) A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis. Expert Syst Appl 38:9014–9022CrossRef

Coppi R et al (2012) Fuzzy and possibilistic clustering for fuzzy data. Comput Stat Data Anal 56(4):915–927MathSciNetCrossRefMATH

De Bin R et al (2011) A novel approach to the clustering of microarray data via nonparametric density estimation. BMC Bioinform 12(1):49–56CrossRef

Hartigan JA (1975) Clustering algorithms. Wiley, New YorkMATH

Hawes SE et al (2010) DNA hypermethylation of tumors from non-small cell lung cancer (NSCLC) patients is associated with gender and histologic type. Lung Cancer 69:172–179CrossRef

He Z, Xu X, Deng S (2005) A cluster ensemble method for clustering categorical data. Inf Fusion 6(2):143–151CrossRef

Kanzawa Y, Endo Y, Miyamoto S (2008) Fuzzy classification function of entropy regularized fuzzy c-means algorithm for data with tolerance using kernel function. In: The 2008 IEEE International Conference on Granular Computing, pp 350–355

Kashef R et al (2010) Cooperative clustering. Pattern Recognit 43:2315–2329CrossRefMATH

Kumar S et al (2012) Development of an efficient clustering technique for colon dataset. Int J Eng Innov Technol 1(5):83–86

Mclachlan GJ et al (2002) A mixture model based approach to the clustering of micro-array expression data. Bio Inform 18(3):413–422

Parkin DM, Bray F, Ferlay J, Pisani P (2005) Global cancer statistics. CA Cancer J Clin 55(2):74–108CrossRef

Rousseeuw PJ (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20:53–65CrossRefMATH

Thomas R, Thieffry D, Kaufman M (1995) Dynamical behaviour of biological regulatory networks—I. Bull Math Biol 57:247–276 17CrossRef

Tjhi W-C, Chen L (2007) Possibilistic fuzzy co-clustering of large document collections. Pattern Recognit 40(12):3452–3466CrossRefMATH

Turm H et al (2014) Comprehensive analysis of transcription dynamics from brain samples following behavioral experience. J Vis Exp 90:e51642–e51642. doi:10.3791/51642

Vanisri D et al (2011) An efficient fuzzy possibilistic C-means with penalized and compensated constraints. Global J Comput Sci Technol 11(3):15–21

Yu Z, Wong HS, Wang H (2007) Graph based consensus clustering for class discovery from gene expression data. Bioinformatics 23(21):2888–2896CrossRef

Title: Effective fuzzy possibilistic c-means: an analyzing cancer medical database
Authors: S. R. Kannan
R. Devi
S. Ramathilagam
T. P Hong
Publication date: 28-05-2016
Publisher: Springer Berlin Heidelberg
Published in: Soft Computing / Issue 11/2017
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-016-2198-7

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Other articles of this Issue 11/2017

Improved traffic detection with support vector machine based on restricted Boltzmann machine

Special issue on soft computing for big data and social informatics

Sec-Buzzer: cyber security emerging topic mining with open threat intelligence retrieval and timeline event annotation

Comments on “Fuzzy multicriteria decision making method based on the improved accuracy function for interval-valued intuitionistic fuzzy sets” by Ridvan Sahin

Large-scale image annotation with image–text hybrid learning models

Using trading mechanisms to investigate large futures data and their implications to market trends

Premium Partner