Fisher’s Linear Discriminator is a model used in statistics to discriminate between two classes of data. It is named after the British statistician R. A. Fisher.
The model uses a linear predictor to determine how much each observation in a dataset deviates from the population mean. This allows the discriminator to determine which class a given observation belongs to.
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