METHODS FOR THE CYCLICAL PATTERN DETERMINATION OF TIME-SERIES DATA USING A CLUSTERING APPROACH

Cycles and other patterns within time-series data are determined. Time-series data are transformed into discretized sets of clustered data that are organized by time period. Comparison is made of the organized data to determine similar time periods and multiclusters of the similar time periods are formed. From the multicluster data, cycles are identified from which thresholds and other useful data may be derived, or the data used for other useful purposes.