- Tytuł:
-
Clustering macroeconomic time series
Grupowanie makroekonomicznych szeregów czasowych - Autorzy:
-
Augustyński, Iwo
Laskoś-Grabowski, Paweł - Powiązania:
- https://bibliotekanauki.pl/articles/424890.pdf
- Data publikacji:
- 2018
- Wydawca:
- Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
- Tematy:
-
time series clustering
similarity
cluster analysis
GDP - Opis:
- The data mining technique of time series clustering is well established. However, even when recognized as an unsupervised learning method, it does require making several design decisions that are nontrivially influenced by the nature of the data involved. By extensively testing various possibilities, we arrive at a choice of a dissimilarity measure (compression-based dissimilarity measure, or CDM) which is particularly suitable for clustering macroeconomic variables. We check that the results are stable in time and reflect large-scale phenomena, such as crises. We also successfully apply our findings to the analysis of national economies, specifically to identifying their structural relations.
- Źródło:
-
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2018, 22, 2; 74-88
1507-3866 - Pojawia się w:
- Econometrics. Ekonometria. Advances in Applied Data Analytics
- Dostawca treści:
- Biblioteka Nauki
Artykuł