Description: The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, development environment VS. Package also provides two test samples.
- [ArrayRecognition] - VC of a matrix to identify examples of p
- [mfcc] - Extraction of Speech Signal in the MFCC
- [NMFs-LDA] - Based on NMFs (non-negative matrix spars
- [tree] - For some simple code, using C++ Realize
- [Dd188] - Introduction to the application of patt
- [pca_lda_study] - Practical potential of principal compone
- [waverecognition] - Check about pattern recognition system,
- [07063257] - Fisher discriminant analysis prepared by
- [lda-c-dist] - latent dirichlet allocation the c implem
- [modern_youhua] - Modern optimization algorithm is divided
File list (Check if you may need any files):
data
....\iris-test.data
....\iris-train.data
....\newVowel-test.data
....\newVowel-train.data
featureExtraction
.................\CLda.cpp
.................\CPca.cpp
.................\Debug
.................\featureExtraction.dsp
.................\featureExtraction.dsw
.................\featureExtraction.ncb
.................\featureExtraction.opt
.................\featureExtraction.plg
.................\global.h
.................\Matrix.cpp
.................\Matrix.h
.................\Release
.................\test.cpp
.................\trainData.cpp
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