Pattern Recognition
저자: Shivakumar Ayyanagowdar
1. In Neural networks
2. In Artificial Intelligence
3. Finding hidden patterns using Data Mining
4. Image Processing
5. Astronomy & Astrophysics; cluster of stars, nebulae
6. Course Contents
6.1. Stochastic Methods
6.2. Unsupervised Learning And Clustering
6.3. Linear Discriminant Functions
6.3.1. Linear discriminant analysis (LDA) and the related Fisher's linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.