Geometric interpretation of admissible linear decision boundaries for two multivariate normal distributions (Corresp.).
F. BechtelW. GavinG. R. BachandPublished in: IEEE Trans. Inf. Theory (1971)
Keyphrases
- geometric interpretation
- normal distribution
- decision boundary
- standard deviation
- axis parallel
- random variables
- pattern classification
- support vector machine
- covariance matrix
- linear classifiers
- data distribution
- training set
- probability density function
- hyperplane
- probability distribution
- nearest neighbor
- kernel function
- training samples
- data points
- graphical models