1. A method for identifying bi-modal data comprising the steps of: receiving a plurality of data inputs; constructing a histogram from said plurality of data inputs; computing a range of said plurality of data inputs; comparing said range of said plurality of data inputs to an expected non-repeatability of said plurality of data inputs; calculating a plurality of histogram frequencies if said range is not less than said expected non-repeatability; inputting said plurality of histogram frequencies and a plurality of precomputed weights into a learned vector quantization (LVQ) network; and outputting from said learned vector quantization a bimodal flag indicative of the bimodality of said plurality of data inputs.