KRISHI
ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/26659
Title: | Web based fuzzy C-Means Clustering Software (wFCM) |
Other Titles: | Not Available |
Authors: | Alka Arora Maedeh Zirak Javanmard Rajni Jain Sudeep Marwaha Anshu Bharadwaj |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Institute of Agricultural Economics and Policy Research ICAR::Indian Agricultural Statistics Research Institute |
Published/ Complete Date: | 2013-11-01 |
Project Code: | Not Available |
Keywords: | Fuzzy Clustering web based software wFCM |
Publisher: | Journal of the Indian Society of Agricultural Statistics |
Citation: | Not Available |
Series/Report no.: | Not Available; |
Abstract/Description: | Fuzzy c-means is a well-known fuzzy clustering algorithm in literature. It allows objects to belong to several clusters simultaneously with different degrees of membership. Considering the importance of fuzzy clustering, web based software has been developed to implement fuzzy c-means clustering algorithm (wFCM). wFCM is a freely accessible web based software package for clustering datasets based on fuzzy c-means clustering algorithm. This software is completely menu driven and presents user-friendly GUI which is developed to minimize efforts in using the software. User can upload data to wFCM using different formats of Excel, and CSV file. Results can be visualized in graphical format and can be downloaded in excel and PDF format. The results obtained from the software were compared with standard Software “R” and observed to be better in terms of evaluation parameters. This software will be useful for statisticians, researchers, students and teachers for clustering datasets from agricultural research as well as many diverse areas of other sciences. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | Journal of Indian Society of Agricultural Statistics |
NAAS Rating: | 5.51 |
Volume No.: | 68 |
Page Number: | 93-100 |
Name of the Division/Regional Station: | Computer Application |
Source, DOI or any other URL: | http://krishi.icar.gov.in/jspui/handle/123456789/5831 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/26659 |
Appears in Collections: | AEdu-IASRI-Publication AEdu-IASRI-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2. IJAS_fuzzy C means_2014.pdf | 419.64 kB | Adobe PDF | View/Open |
Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.