How To Use Discriminate Function Analysis
10338
LDA approaches the problem by assuming that the conditional probability density functions
p
(
x
|
y
=
0
)
{\displaystyle p({\vec {x}}|y=0)}
and
p
(
address x
|
y
=
1
)
More Bonuses
{\displaystyle p({\vec {x}}|y=1)}
are both the normal distribution with mean and covariance parameters
(
0
,
0
)
{\displaystyle \left({\vec {\mu }}_{0},\Sigma _{0}\right)}
and
1
,
1
)
{\displaystyle \left({\vec {\mu }}_{1},\Sigma _{1}\right)}
, respectively. .