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[matlab] stprtool DL : 0: 用matlab实现的统计模式识别工具箱，非常棒适合学习。-Achieved using statistical pattern recognition matlab toolbox, great for learning.
Update : 2025-02-19 Size : 4mb Publisher : 项龙江
[matlab] stprtool DL : 0: matlab源代码，是重要的地震勘探源代码，工具箱程序-matlab source code, it is important to seismic exploration source code, toolbox procedures
Update : 2025-02-19 Size : 4.88mb Publisher : 潘永
[matlab] stprtool DL : 0: 统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines- This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm
Update : 2025-02-19 Size : 4.07mb Publisher : 查日东