Abstract: A system, method, computer readable medium and device for identifying discriminant spectrum clusters including receiving known input data set comprising spectra generated from biological samples known to either have or not have a biological condition where each spectrum may be either known to have been generated from the biological samples known to have or a biological condition, or from the biological samples known not to have same. A software module may apply quality control filters to the input data set to exclude spectra that do not meet the quality control filters, generate a set of remaining spectra, cluster same into a set of spectrum clusters by applying clustering parameters, and identify a set of discriminant spectrum clusters by examining whether each spectrum cluster exclusively contains only spectra generated from samples known to have a biological condition or exclusively contains spectra from samples known not to have the biological condition.