quadratic discriminant analysis
GPTKB entity
Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
statistical classification method
|
| gptkbp:abbreviation |
gptkb:QDA
|
| gptkbp:application |
diagnosis
face recognition credit scoring |
| gptkbp:assumes |
different covariance matrices for each class
predictors are normally distributed |
| gptkbp:category |
gptkb:algorithm
supervised learning |
| gptkbp:developedBy |
gptkb:Ronald_Fisher
|
| gptkbp:distinctFrom |
linear discriminant analysis uses same covariance for all classes
|
| gptkbp:form |
gptkb:multivariate_normal_distribution
gptkb:Bayes_theorem |
| https://www.w3.org/2000/01/rdf-schema#label |
quadratic discriminant analysis
|
| gptkbp:input |
feature vectors
|
| gptkbp:introducedIn |
20th century
|
| gptkbp:output |
class membership
|
| gptkbp:relatedTo |
linear discriminant analysis
|
| gptkbp:usedIn |
gptkb:machine_learning
statistics pattern recognition |
| gptkbp:bfsParent |
gptkb:Fisher's_linear_discriminant
|
| gptkbp:bfsLayer |
6
|