Self-Organizing Feature Maps in Correlating Groups of Time Series: Experiments with Indicators Describing Entrepreneurship

The Fourth Annual Meeting of the Dermatology Forum for Basic Research and Treatment

Marta Czyzewska ; Jaros law Szko la ; Krzysztof Pancerz

Others  :  http://CEUR-WS.org/Vol-330/Invited2.pdf
PID  :  2660

来源: CEUR

【 摘 要 】

In the paper, we briey describe a problem of identification of entrepreneurship determinants with respect to economic development of countries. In order to solve this problem, we need to identify correlations between entrepreneurship and macroeconomic indicators. The main attention in the paper is focused on selecting a proper computer tool for solving this problem. As a tool supporting identification, Self-Organizing Feature Maps (SOMs) have been chosen. Some modification of the clustering process using SOMs is proposed by us to improve classification results and efficiency of the learning process. At the end, we indicate some challenges of further research.