1176 - Explain why multimodal distributions in training samples should be avoided when using the maximum likelihood classifier

Explain why multimodal distributions in training samples should be avoided when using the maximum likelihood classifier

Concepts

  • [IP3-4-2-2] Maximum likelihood
    Maximum likelihood classification uses the training data for estimating means and variances of the classes, which are then used to estimate the probabilities. This method considers not only the mean, or average, values in assigning classification but also the variability of brightness values in each class.