Finding Predictive Patterns in Histor- ical Stock Data Using Self-Organizing Maps and Particle Swarm Optimization
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چکیده
منابع مشابه
Performance Comparison of Particle Swarm Optimization with Traditional Clustering Algorithms used in Self-Organizing Map
Self-organizing map (SOM) is a well known data reduction technique used in data mining. It can reveal structure in data sets through data visualization that is otherwise hard to detect from raw data alone. However, interpretation through visual inspection is prone to errors and can be very tedious. There are several techniques for the automatic detection of clusters of code vectors found by SOM...
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تاریخ انتشار 2012