ENERGY MINIMIZATION FOR CLASSIFICATION, PATTERN RECOGNITION, SENSOR FUSION, DATA COMPRESSION, NETWORK RECONSTRUCTION AND SIGNAL PROCESSING

摘要

An analyzer/classifier process for data comprises using energy minimization with one or more input matrices. The data to be analyzed/classified is processed by an energy minimization technique such as individual difference multidimensional scaling (IDMDS) (fig.1, 120) to produce at least a rate of change of stress/energy. Using the rate of change of stress/energy and possibly other IDMDS output, the data are analyzed or classified through patterns recognized within the data.