A
system and method that transforms data formats into contour
metrics and further transforms each contour of that mapping into contours pattern metric sets so that each metric created has a representation of one level of contour presentation, at each iteration of the learning contour
identification system defined herein. This transformation of data instance to contour
metrics permits a user to take relevant data of a
data set, as determined by a learning contour
identification system, to machines of other types and function, for the purpose of further analysis of the patterns found and labeled by said
system. The invention performs with
data format representations, not limited to, signals, images, or waveform embodiments so as to identify, track, or detect patterns of, amplitudes, frequencies, phases, and density functions, within the data case and then by way of using combinations of statistical, feedback adaptive, classification, training
algorithm metrics stored in hardware, identifies patterns in past data cases that repeat in future, or present data cases, so that high-percentage labeling and identification is a achieved.