NDLI: Gene Expression Classification Using a Fuzzy Point Symmetry Based PSO Clustering Technique

Content Provider	IEEE Xplore Digital Library
Author	Das, Ranjita Saha, Sriparna
Copyright Year	2015
Abstract	The growth of biomedical and biological research has changed the shape after introduction of microarray technology. Several unsupervised clustering techniques have been introduced in order to explain and interpret the microarray gene expression data sets. A new clustering technique using fuzzy point symmetric concept has been proposed which utilizes particle swarm optimization as the underline optimization strategy. This paper has deployed the clustering of microarray data as a single objective optimization problem. The efficacy of the proposed fuzzy clustering technique which poses the symmetric property is compared with some well known clustering algorithms utilizing the properties of symmetry and genetic algorithms over some gene-microarray datasets which are publicly available. Biological and statistical analysis have been carried out to validate the obtained clustering results.
Starting Page	69
Ending Page	73
File Size	813153
Page Count	5
File Format	PDF
ISBN	9781467398190
DOI	10.1109/ISCMI.2015.32
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-23
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy symmetry based particle swarm optimization (PSO) clustering technique Atmospheric measurements Gene expression data clustering Clustering algorithms Biomedical measurement Particle measurements Gene expression Clustering Particle swarm optimization Optimization
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Improvement of Discrete Particle Swarm classification system

Classification of Leukemia Gene Expression Data Using Particle Swarm Optimization

Fuzzy clustering using automatic particle swarm optimization

A New Hybrid Evolutionary-Based Data Clustering Using Fuzzy Particle Swarm Optimization

A novel method in fuzzy data clustering based on chaotic PSO

Classification of diffuse large B cell lymphoma gene expression data based on two-layer particle swarm optimization

Kernel based rough fuzzy c-Means clustering optimized using particle swarm optimization

Particle swarm optimization based fuzzy frequent pattern mining from gene expression data

Fuzzy clustering of hyperspectral data based on particle swarm optimization

Gene Expression Classification Using a Fuzzy Point Symmetry Based PSO Clustering Technique

Similar Documents

Improvement of Discrete Particle Swarm classification system

Classification of Leukemia Gene Expression Data Using Particle Swarm Optimization

Fuzzy clustering using automatic particle swarm optimization

A New Hybrid Evolutionary-Based Data Clustering Using Fuzzy Particle Swarm Optimization

A novel method in fuzzy data clustering based on chaotic PSO

Classification of diffuse large B cell lymphoma gene expression data based on two-layer particle swarm optimization

Kernel based rough fuzzy c-Means clustering optimized using particle swarm optimization

Particle swarm optimization based fuzzy frequent pattern mining from gene expression data

Fuzzy clustering of hyperspectral data based on particle swarm optimization

Gene Expression Classification Using a Fuzzy Point Symmetry Based PSO Clustering Technique