Simona Korenjak-Černe
Biographic Data
| ID | 1591943 |
|---|---|
| NAME | Simona Korenjak-Černe |
| GIVEN NAMES | Simona |
| FAMILY NAME | Korenjak-Černe |
| SIGNATURE | KORENJAK-ČERNE S |
| AFFILIATIONS | University of Ljubljana |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2019 |
| H-INDEX | 1 |
Clustering EU Countries by Causes of Death
A weighted clustering of population pyramids for the world's countries, 1996, 2001, 2006
This paper presents clusters of the world's countries obtained by a novel weighted clustering method. The approach is based on data representations with symbolic descriptions of age-sex structures. To obtain clusters with similar descriptions, a weighted clustering method is used which is suitable for data described with discrete distributions. In contrast to the classical approach, this method allows the population of each sex to be included in …
A weighted clustering of population pyramids for the world's countries, 1996, 2001, 2006
This paper presents clusters of the world's countries obtained by a novel weighted clustering method. The approach is based on data representations with symbolic descriptions of age-sex structures. To obtain clusters with similar descriptions, a weighted clustering method is used which is suitable for data described with discrete distributions. In contrast to the classical approach, this method allows the population of each sex to be included in …
A weighted clustering of population pyramids for the world's countries, 1996, 2001, 2006
This paper presents clusters of the world's countries obtained by a novel weighted clustering method. The approach is based on data representations with symbolic descriptions of age-sex structures. To obtain clusters with similar descriptions, a weighted clustering method is used which is suitable for data described with discrete distributions. In contrast to the classical approach, this method allows the population of each sex to be included in …
Clustering EU Countries by Causes of Death
Cluster analysis (2 works) · Computer Science (2 works) · Demography (2 works) · Insurance, Mortality, Demography, Risk Management (2 works) · Population (2 works) · Sociology (2 works) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Cluster (spacecraft) (1 work) · Contrast (vision) (1 work)