Analysis of Data Clusters Obtained by Self-Organizing Methods

The self-organizing methods were used for the investigation of financial market. As an example we consider data time-series of Dow Jones index for the years 2002-2003 (R. Mantegna, cond-mat/9802256). In order to reveal new structures in stock market behavior of the companies drawing up Dow Jones index we apply SOM (Self-Organizing Maps) and GMDH (Group Method of Data Handling) algorithms. Using SOM techniques we obtain SOM-maps that establish a new relationship in market structure. Analysis of the obtained clusters was made by GMDH.

BRIEF ESSAY OF THE PROFESSOR ROMAN MYKHAILOVYCH PINIAZHKO’S LIFE AND CAREER (on the 90th anniversary)

The history of life and career of Doctor of Sciences in Pharmaceutics Professor Roman Pinyazhko, who is a prominent figure of Ukrainian pharmaceutical science and practice of the second half of the XX century, is presented in the article