Smart City Gnosys
Smart city article details
| Title | Clustering Of Cities Based On Their Smart Performances: A Comparative Approach Of Fuzzy C-Means, K-Means, And K-Medoids |
|---|---|
| ID_Doc | 14527 |
| Authors | Kenger O.N.; Kenger Z.D.; Ozceylan E.; Mrugalska B. |
| Year | 2023 |
| Published | IEEE Access, 11 |
| DOI | http://dx.doi.org/10.1109/ACCESS.2023.3333753 |
| Abstract | Smart City is recognized as a potential approach to address serious urban issues such as traffic, pollution, energy use, and waste management. Therefore, it is vital to evaluate how smart cities are in order to put these methods into practice. To offer advice on these matters, numerous reports are created, and one of which is Smart City Index (SCI). The Institute for Management Development (IMD) and the Singapore University of Technology and Design collaborate on SCI every year (SUTD). The report evaluates how locals view the buildings and technological applications that are available in their towns. Although the study offers a thorough examination of the cities for evaluation, the city clusters should be more sensitive and not be created using strict clustering techniques. In order to address this problem, the clustering algorithms namely K-Medoids, Fuzzy C-Means, and K-Means, which outperform hard clustering approaches in terms of robustness to vagueness and knowledge retention, are used. The main goal of this study is to categorize cities using a scientific manner (clustering algorithms) based on SCI data and to present how the chosen approaches work for dealing with the associated problems. The primary innovation of the present study is the use of clustering techniques in reports where the indexes are used. The results indicate that grouping the cities on the basis of their smart indicators would not be as effective as using the three clustering techniques that are suggested in this paper. These results add to the analysis of the dynamic capacities of smart cities and highlight the sustainability of these tactics. © 2023 The Authoes. |
| Author Keywords | clustering; Comparative analysis; fuzzy C-Means; K-Means; K-Medoids; smart cities |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
9278  | 0.906 | Sarthy P.; Choudhary P. | Analysis Of Smart And Sustainable Cities Through K-Means Clustering | 2022 2nd International Conference on Power Electronics and IoT Applications in Renewable Energy and its Control, PARC 2022 (2022) |
| 17741 | 0.903 | Barbierato E.; Gatti A. | Decoding Urban Intelligence: Clustering And Feature Importance In Smart Cities | Future Internet, 16, 10 (2024) |
| 14535 | 0.903 | Tharwat M.; Khattab A. | Clustering Techniques For Smart Cities: An Artificial Intelligence Perspective | Lecture Notes in Intelligent Transportation and Infrastructure, Part F1386 (2021) |
| 49427 | 0.894 | Bhardwaj V.; Anooja A.; Vermani L.S.; Sunita; Dhaliwal B.K. | Smart Cities And The Iot: An In-Depth Analysis Of Global Research Trends And Future Directions | Discover Internet of Things, 4, 1 (2024) |
| 24570 | 0.893 | Digel I.; Mussabalina D.; Urdabayev M.; Nurmukhametov N.; Akparova A. | Evaluating Development Prospects Of Smart Cities: Cluster Analysis Of Kazakhstan'S Regions | Problems and Perspectives in Management, 20, 4 (2022) |
| 14524 | 0.889 | Hosseinzadeh M.; Hemmati A.; Rahmani A.M. | Clustering For Smart Cities In The Internet Of Things: A Review | Cluster Computing, 25, 6 (2022) |
| 17263 | 0.885 | Kousis A.; Tjortjis C. | Data Mining Algorithms For Smart Cities: A Bibliometric Analysis | Algorithms, 14, 8 (2021) |
| 28087 | 0.884 | Alkhereibi A.H.; Abulibdeh R.; Abulibdeh A. | Global Smart Cities Classification Using A Machine Learning Approach To Evaluating Livability, Technology, And Sustainability Performance Across Key Urban Indices | Journal of Cleaner Production, 503 (2025) |
| 49568 | 0.884 | Aishwarya R.I.; Asimithaa K.; Eunice J. | Smart Cities For The Future: A Data Science Approach | Cyber security and Data Science Innovations for Sustainable Development of HEICC: Healthcare, Education, Industry, Cities, and Communities (2025) |
| 50464 | 0.879 | Rejeb A.; Rejeb K.; Abdollahi A.; Keogh J.G.; Zailani S.; Iranmanesh M. | Smart City Research: A Bibliometric And Main Path Analysis | Journal of Data, Information and Management, 4, 3-4 (2022) |