7 Classification and Discrimination
Discriminate analysis and classification are multivariate techniques concerned with separating distinct
facts of objects (observation) and with allocating new objects (observations) to previous define
groups.
Discriminate analysis is rather exploratory while classification require well defined rules.
In classification clauses of misclassifications and costs of missclassifications are sometimes taken in
account when developing rules.
A Bayesian approach is encompassed as the way of introducing prior information.
Some methods assure specific distribution sources as the normal distribution.
7.1 Fisher’s Discriminant Function
7.2 Fishers Classification Rule
7.3 Fishers Rule Through Mahalanobie’s Distance
7.4 More Than Two Population
7.5 Sample Values
7.6 Fishers Sample Linear Discriminate
7.7 Fishers Classification Procedure Based of On Sample Discriminate
7.8 Practice Problems
7.2 Fishers Classification Rule
7.3 Fishers Rule Through Mahalanobie’s Distance
7.4 More Than Two Population
7.5 Sample Values
7.6 Fishers Sample Linear Discriminate
7.7 Fishers Classification Procedure Based of On Sample Discriminate
7.8 Practice Problems
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