搜索资源列表
pattern-recognition-simulation
- 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
Classification-MatLab-Toolbox
- matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值--attern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
faimun
- 利用matlab写成的窄带噪声发生，结合PCA的尺度不变特征变换(SIFT)算法，BP神经网络用于函数拟合与模式识别。- Using matlab written narrowband noise occurs, Combined with PCA scale invariant feature transform (SIFT) algorithm, BP neural network function fitting and pattern recognition.
PCA_ris
- 基于PCA法的Iris数据分类，最小距离法，模式识别-Iris PCA based data classification method, the minimum distance method, pattern recognition
penghun_v70
- 完整的基于HMM的语音识别系统，BP神经网络用于函数拟合与模式识别，借鉴了主成分分析算法（PCA）。- Complete HMM-based speech recognition system, BP neural network function fitting and pattern recognition, It draws on principal component analysis algorithm (PCA).
be451
- 对于初学matlab的同学会有帮助，模式识别中的bayes判别分析算法，是学习PCA特征提取的很好的学习资料。- Matlab for beginner students will help, Pattern Recognition bayes discriminant analysis algorithm, Is a good learning materials to learn PCA feature extraction.
rzcrgnition
- 模式识别matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值(Pattern recognition matlab toolbox, including SVM, ICA and PCA and NN, and so on pattern recognition algorithm, is of great reference value)
04825210PCA1
- 对碰撞信号特征进行降维和聚类分析，提高分类精度(Reducing dimension and clustering analysis of collision signal features to improve classification accuracy)