Selection of world development indicators for countries classification
| Autor: | Ali Kalakech, Mariam Kalakech, Denis Hamad |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
010104 statistics & probability
Geography 0202 electrical engineering electronic engineering information engineering Econometrics Similarity matrix 020201 artificial intelligence & image processing 02 engineering and technology Human Development Index 0101 mathematics World Development Indicators 01 natural sciences Human development (humanity) |
| Zdroj: | ICDEc |
| DOI: | 10.1109/icdec.2016.7563141 |
| Popis: | Middle East countries, characterized by many income and non-income development indicators, can be classified into different groups that reflect the diversity in human development across those countries. However, few of these available indicators are relevant for the classification purpose, and thus, it is important to perform an indicator selection stage before operating the classification. In this paper, we use the Laplacian score to select the most relevant income indicators. This Laplacian score is based on a similarity matrix which is usually calculated using the income indicators. However, the non-income indicators may contain important information that is not taken into consideration in the selection procedure. So, we propose to use the non-income indicators to build the similarity matrix used by the Laplacian score. Results show the interest of the proposed approach for indicator selection to perform classification of those Middle East countries. They also reveal that the women participation is a critical dimension of the development process of a country. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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