Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products
The important approaches to statistical and fuzzy clustering are reviewed and compared, and their applications to an agricultural problem based on a real-world data are investigated. The methods employed in this study includes some hierarchical clustering and non-hierarchical clustering methods and...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Amirkabir University of Technology
2020-02-01
|
| Series: | AUT Journal of Mathematics and Computing |
| Subjects: | |
| Online Access: | https://ajmc.aut.ac.ir/article_3245_a255154ebe44780b879781a7e0ee6123.pdf |
| _version_ | 1827350069853028352 |
|---|---|
| author | Israa Atiyah Seyed Mahmoud Taheri |
| author_facet | Israa Atiyah Seyed Mahmoud Taheri |
| author_sort | Israa Atiyah |
| collection | DOAJ |
| description | The important approaches to statistical and fuzzy clustering are reviewed and compared, and their applications to an agricultural problem based on a real-world data are investigated. The methods employed in this study includes some hierarchical clustering and non-hierarchical clustering methods and Fuzzy C-Means method. As a case study, these methods are then applied to cluster 15 provinces of Iraq based on some agricultural crops. Finally, a comparative and evaluation study of different statistical and fuzzy clustering methods is performed. The obtained results showed that, based on the Silhouette criterion and Xie-Beni index, fuzzy c-means method is the best one among all reviewed methods |
| first_indexed | 2024-03-08T00:52:28Z |
| format | Article |
| id | doaj.art-f496f07d8bdf432486c328e1794d9528 |
| institution | Directory Open Access Journal |
| issn | 2783-2449 2783-2287 |
| language | English |
| last_indexed | 2024-03-08T00:52:28Z |
| publishDate | 2020-02-01 |
| publisher | Amirkabir University of Technology |
| record_format | Article |
| series | AUT Journal of Mathematics and Computing |
| spelling | doaj.art-f496f07d8bdf432486c328e1794d95282024-02-14T19:33:06ZengAmirkabir University of TechnologyAUT Journal of Mathematics and Computing2783-24492783-22872020-02-011110111210.22060/ajmc.2019.14873.10133245Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural productsIsraa Atiyah0Seyed Mahmoud Taheri1Faculty of Mathematics and Computer Science, Amirkabir University of Technology, TehranSchool of Engineering Science, College of Engineering, University of TehranThe important approaches to statistical and fuzzy clustering are reviewed and compared, and their applications to an agricultural problem based on a real-world data are investigated. The methods employed in this study includes some hierarchical clustering and non-hierarchical clustering methods and Fuzzy C-Means method. As a case study, these methods are then applied to cluster 15 provinces of Iraq based on some agricultural crops. Finally, a comparative and evaluation study of different statistical and fuzzy clustering methods is performed. The obtained results showed that, based on the Silhouette criterion and Xie-Beni index, fuzzy c-means method is the best one among all reviewed methodshttps://ajmc.aut.ac.ir/article_3245_a255154ebe44780b879781a7e0ee6123.pdfhierarchical clusteringnon-hierarchical clusteringfuzzy c-means clustering |
| spellingShingle | Israa Atiyah Seyed Mahmoud Taheri Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products AUT Journal of Mathematics and Computing hierarchical clustering non-hierarchical clustering fuzzy c-means clustering |
| title | Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products |
| title_full | Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products |
| title_fullStr | Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products |
| title_full_unstemmed | Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products |
| title_short | Statistical and fuzzy clustering methods and their application to clustering provinces of Iraq based on agricultural products |
| title_sort | statistical and fuzzy clustering methods and their application to clustering provinces of iraq based on agricultural products |
| topic | hierarchical clustering non-hierarchical clustering fuzzy c-means clustering |
| url | https://ajmc.aut.ac.ir/article_3245_a255154ebe44780b879781a7e0ee6123.pdf |
| work_keys_str_mv | AT israaatiyah statisticalandfuzzyclusteringmethodsandtheirapplicationtoclusteringprovincesofiraqbasedonagriculturalproducts AT seyedmahmoudtaheri statisticalandfuzzyclusteringmethodsandtheirapplicationtoclusteringprovincesofiraqbasedonagriculturalproducts |