Analysis of Data Clusters Obtained by Self-Organizing Methods

Details Analysis of Data Clusters Obtained by Self-Organizing Methods Analysis of Data Clusters Obtained by Self-Organizing Methods

2004-02-10

arxiv.org/abs/nlin/0402012v3

Nonlinear Sciences

Adaptation and Self-Organizing Systems

10 pages, 4 figures

Scientific paper

10.1016/j.physa.2004.04.115

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.

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