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What is Linear Discriminant Functions Overview about?

Linear Discriminant Functions (LDF) are used in pattern recognition to classify data points by establishing a linear decision boundary. The function is mathematically represented as g(x) = w^T * x + w_0, with decision rules based on the sign of g(x). While LDF is computationally efficient and effective for linearly separable data, it struggles with non-linear boundaries and is sensitive to noise.

Author

Debasmita_Kolkata

Language

EN