If LDA's assumptions are not met, you can consider:
Data Transformation: Applying transformations to make data more Gaussian.
Alternative Methods: Using techniques like Quadratic Discriminant Analysis (QDA) or kernel methods for non-linear boundaries.
Feature Engineering: Adding or modifying features to better capture class separability.