Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran

It is commonly recognized that food insecurity and obesity is the major sections of academic researches, but the activities' rate of food insecurity and surveillance is always Low. Based on food insecurity and obesity’ characteristics, in this paper attempt are made to present a model based on...

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Main Authors: Helda Tutunchi, Alireza Ostadrahimi, Soltanali Mahboob, Reza Mahdavi, SIROUS J Tabrizi
Format: Article
Language:English
Published: Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP) 2013-05-01
Series:Journal of Applied Sciences and Environmental Management
Online Access:https://www.Ajol.Info/index.php/jasem/article/view/88626
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author Helda Tutunchi
Alireza Ostadrahimi
Soltanali Mahboob
Reza Mahdavi
SIROUS J Tabrizi
author_facet Helda Tutunchi
Alireza Ostadrahimi
Soltanali Mahboob
Reza Mahdavi
SIROUS J Tabrizi
author_sort Helda Tutunchi
collection DOAJ
description It is commonly recognized that food insecurity and obesity is the major sections of academic researches, but the activities' rate of food insecurity and surveillance is always Low. Based on food insecurity and obesity’ characteristics, in this paper attempt are made to present a model based on Hopfield– fuzzy C Means clustering algorithm. Firstly, it is capable of identifying the reasons behind the emergence of the present status. Secondly, the suggested model must represent the clustering of the people based on food insecurity and surveillance in different levels. Finally, it tests the validity of the suggested model with comparing by other models (Hopfield–K-Means, K-Means, and fuzzy C Means). @JASEM Keywords: Learning, Clustering, Algorithm, Hopfield J. Appl. Sci. Environ. Manage. Dec, 2011, Vol. 15 (4) 635 - 641
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institution Kabale University
issn 2659-1502
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language English
publishDate 2013-05-01
publisher Joint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)
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series Journal of Applied Sciences and Environmental Management
spelling doaj-art-a5de4cd4d3dd4e99a3111a2ac2efbf482025-02-08T19:52:24ZengJoint Coordination Centre of the World Bank assisted National Agricultural Research Programme (NARP)Journal of Applied Sciences and Environmental Management2659-15022659-14992013-05-01154Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of IranHelda TutunchiAlireza OstadrahimiSoltanali MahboobReza MahdaviSIROUS J TabriziIt is commonly recognized that food insecurity and obesity is the major sections of academic researches, but the activities' rate of food insecurity and surveillance is always Low. Based on food insecurity and obesity’ characteristics, in this paper attempt are made to present a model based on Hopfield– fuzzy C Means clustering algorithm. Firstly, it is capable of identifying the reasons behind the emergence of the present status. Secondly, the suggested model must represent the clustering of the people based on food insecurity and surveillance in different levels. Finally, it tests the validity of the suggested model with comparing by other models (Hopfield–K-Means, K-Means, and fuzzy C Means). @JASEM Keywords: Learning, Clustering, Algorithm, Hopfield J. Appl. Sci. Environ. Manage. Dec, 2011, Vol. 15 (4) 635 - 641https://www.Ajol.Info/index.php/jasem/article/view/88626
spellingShingle Helda Tutunchi
Alireza Ostadrahimi
Soltanali Mahboob
Reza Mahdavi
SIROUS J Tabrizi
Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran
Journal of Applied Sciences and Environmental Management
title Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran
title_full Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran
title_fullStr Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran
title_full_unstemmed Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran
title_short Using the Hopfield– Fuzzy C Means Algorithm for Clustering of People based on Food Insecurity and Obesity in the Northwest of Iran
title_sort using the hopfield fuzzy c means algorithm for clustering of people based on food insecurity and obesity in the northwest of iran
url https://www.Ajol.Info/index.php/jasem/article/view/88626
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