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| − | Continuing from where we left of in [[Discriminant Functions For The Normal(Gaussian) Density|Part 1]], after establishing the basic format of a discriminant function, we will | + | |
| + | Continuing from where we left of in [[Discriminant Functions For The Normal(Gaussian) Density|Part 1]], after establishing the basic format of a discriminant function, we will now look at the multiple cases for a multivariate normal distribution. | ||
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| + | '''Case 1: &Sigma<sub>i</sub> = &sigma<sup>2</sup>I''' | ||
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| + | This is the simplest case and it occurs when the features are statistically independent and each feature has the same variance, &sigma<sup>2</sup> | ||
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Revision as of 05:20, 13 April 2013
Discriminant Functions For The Normal Density - Part 1
Continuing from where we left of in Part 1, after establishing the basic format of a discriminant function, we will now look at the multiple cases for a multivariate normal distribution.
Case 1: &Sigmai = &sigma2I
This is the simplest case and it occurs when the features are statistically independent and each feature has the same variance, &sigma2
