Seonglae ChoGDA
GDA is commonly used for data classification when the data can be approximated with a normal distribution
object is to predict posterior density by the Bayes Theorem
phi is parameter for prior
- class prior is Bernoulli
- class conditional distribution is Normal
estimate mean, covariance becuz continuous
special case of MoG
가우시안 분포와 분별 함수 (선형 분별 분석(LDA), 2차 분별 분석(QDA))
gaussian37's blog
https://gaussian37.github.io/ml-concept-gaussian_discriminant/
