Sayel Basel
Biographic Data
| ID | 6478052 |
|---|---|
| NAME | Sayel Basel |
| GIVEN NAMES | Sayel |
| FAMILY NAME | Basel |
| SIGNATURE | BASEL S |
| AFFILIATIONS | Christ University |
| ORCID | 0000-0002-7586-7528 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Classifying Global Economies Based on Sustainable Development Goals
The concept of sustainable development gained global prominence after its widespread recognition and the establishment of the United Nations' 2015 sustainable development goals (SDGs). These goals aim to tackle the issues of poverty, inequality, and environmental sustainability by 2030. This study utilizes machine learning clustering techniques, namely, Grey Relational Analysis and K‐means clustering, to classify 167 countries based on their SDG …
Classification of countries based on development indices by using K-means and grey relational analysis
Testing club convergence of economies by using a Broad-Based Development Index
Classification of countries based on development indices by using K-means and grey relational analysis
Classifying Global Economies Based on Sustainable Development Goals
The concept of sustainable development gained global prominence after its widespread recognition and the establishment of the United Nations' 2015 sustainable development goals (SDGs). These goals aim to tackle the issues of poverty, inequality, and environmental sustainability by 2030. This study utilizes machine learning clustering techniques, namely, Grey Relational Analysis and K‐means clustering, to classify 167 countries based on their SDG …
Testing club convergence of economies by using a Broad-Based Development Index
Classification of countries based on development indices by using K-means and grey relational analysis
Classifying Global Economies Based on Sustainable Development Goals
The concept of sustainable development gained global prominence after its widespread recognition and the establishment of the United Nations' 2015 sustainable development goals (SDGs). These goals aim to tackle the issues of poverty, inequality, and environmental sustainability by 2030. This study utilizes machine learning clustering techniques, namely, Grey Relational Analysis and K‐means clustering, to classify 167 countries based on their SDG …
Computer Science (3 works) · Economics (3 works) · Energy, Environment, Economic Growth (3 works) · Artificial Intelligence (2 works) · Cluster analysis (2 works) · Economic geography (2 works) · Economic growth (2 works) · Human geography (2 works) · Index (typography (2 works) · Political science (2 works)