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Linear Discriminant Analysis (LDA) is a statistical technique that helps to classify or separate the population into groups based on a specific feature of the data. The feature that is used in LDA is the discriminant function. A discriminant function is a non-linear function that maps the features of the data to a specific class. LDA is widely used in various fields such as data mining, machine learning, and biostatistics. Its major advantage is that it allows for the separation of the data into groups based on a single feature.
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