NDLI: Pattern recognition using multivariate-based fuzzy inference rule reduction on neuro fuzzy system

Content Provider	IEEE Xplore Digital Library
Author	Nam, D.H. Harpreet Singh
Copyright Year	2005
Description	Author affiliation: Div. of Eng. & Comput. Sci., Wilberforce Univ., OH, USA (Nam, D.H.)
Abstract	The pattern recognition of the IRIS data using multivariate-based fuzzy inference rule reduction technique presented. There are numerous data sets to perform or recognize the data themselves with unnecessary results of pattern recognition such as undesired rules or clusters with inappropriate degree precision because of the imprecise and massive data set itself. The proposed data reduction technique reduces the large and imprecise data into the relatively reduced and precise data produced by the consecutive preprocessing factor analysis and subtractive clustering (SUBCLUST) analysis to generate the neuro fuzzy system for pattern recognition. As case study, it is examined for the performance and its accuracy using the proposed technique with IRIS data to recognize pattern from 150 selected flowers from three species and their four different measurements using statistical measurements such as correlation (CORR), total root mean square (TRMS), standard deviation (STD), mean of absolute distance (MAD), and equally weighted index (EWI).
Starting Page	573
Ending Page	578
File Size	1330707
Page Count	6
File Format	PDF
ISBN	078039187X
DOI	10.1109/NAFIPS.2005.1548599
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Pattern recognition Data mining Principal component analysis Iris Pattern analysis Data analysis Data engineering Computer science Root mean square Subtractive clustering (SUBCLUST) Factor analysis Multivariate-based data reduction neuro fuzzy system
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 Library 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