Trend cluster analysis using self organizing maps

Abstract

Trend cluster analysis using Self Organization Maps (SOM) is an application for clustering time series data. The application is able to cluster and display the time series data into trend lines graphs, and also identify trend variations in time series data. The system can process a large number of records as well as a smaller datasets. The results generated by the application are useful for analyzing large data which is often hard to analyze using normal spreadsheet software. The system has been developed using Matlab SOM functions and adopted SOM learning technique to cluster time series data. Based on the experiments, the test results have shown that the application is able to accommodate large sets of data and produce the trend lines graphs.