Multiple Data Stream Relation and Pattern Discovery Based on PCA/ICA

This paper introduces a model based on Principal Component Analysis(PCA),Independent Component Analysis(ICA) and multiple data stream model which supplies a new method of multiple data stream relation analysis and pattern discovery. As PCA/ICA can separate independent components from complicated information,a solution can be implemented with the help of PCA/ICA on multiple data stream relation analysis,pattern discovery and hidden variables. The robustness and real-time performance are also discussed in the experiment.