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文件名称:stprtool

  • 所属分类：
  • matlab例程
  • 资源属性：
  • [Matlab] [源码]
  • 上传时间：
  • 2012-11-26
  • 文件大小：
  • 4.07mb
  • 下载次数：
  • 0次
  • 提 供 者：
  • 查**
  • 相关连接：
  • 无
  • 下载说明：
  • 别用迅雷下载，失败请重下，重下不扣分！
修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

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
相关搜索： stprto
smo
kernel
matlab
expectation
maximization
Statistical
Pattern
Recognition
Toolbox
svmlight
BSVM
Feature
Extraction
matlab
clustering
pattern
recognition

(系统自动生成,下载前可以参看下载内容)

下载文件列表

stprtool

........\bayes

........\.....\bayescls.m

........\.....\bayesdf.m

........\.....\bayesdf.m~

........\.....\bayeserr.m

........\.....\Contents.m

........\compilemex.m

........\compilemex.m~

........\Contents.m

........\Contents.m~

........\data

........\....\anderson_task

........\....\.............\mars.mat

........\....\.............\venus.mat

........\....\binary_separable

........\....\................\tulip.mat

........\....\c2s.m

........\....\check2ddata.m

........\....\check2dgauss.m

........\....\Contents.m

........\....\createdata.m

........\....\gencircledata.m

........\....\genlsdata.m

........\....\gmm_samples

........\....\...........\krkonose.mat

........\....\iris_data

........\....\.........\iris.mat









........\....\mergesets.m

........\....\mm_samples

........\....\..........\orion.mat

........\....\..........\scales.mat

........\....\multi_separable

........\....\...............\pentagon.mat

........\....\ocr_numerals

........\....\............\daniel_martinec1.mat

........\....\............\daniel_martinec10.mat

........\....\............\daniel_martinec2.mat

........\....\............\daniel_martinec3.mat

........\....\............\daniel_martinec4.mat

........\....\............\daniel_martinec5.mat

........\....\............\daniel_martinec6.mat

........\....\............\daniel_martinec7.mat

........\....\............\daniel_martinec8.mat

........\....\............\daniel_martinec9.mat

........\....\............\honza_cech1.mat

........\....\............\honza_cech10.mat

........\....\............\honza_cech2.mat

........\....\............\honza_cech3.mat

........\....\............\honza_cech4.mat

........\....\............\honza_cech5.mat

........\....\............\honza_cech6.mat

........\....\............\honza_cech7.mat

........\....\............\honza_cech8.mat

........\....\............\honza_cech9.mat

........\....\............\jana_kostkova1.mat

........\....\............\jana_kostkova10.mat

........\....\............\jana_kostkova2.mat

........\....\............\jana_kostkova3.mat

........\....\............\jana_kostkova4.mat

........\....\............\jana_kostkova5.mat

........\....\............\jana_kostkova6.mat

........\....\............\jana_kostkova7.mat

........\....\............\jana_kostkova8.mat

........\....\............\jana_kostkova9.mat

........\....\............\martin_barva1.mat

........\....\............\martin_barva10.mat

........\....\............\martin_barva2.mat

........\....\............\martin_barva3.mat

........\....\............\martin_barva4.mat

........\....\............\martin_barva6.mat

........\....\............\martin_barva7.mat

........\....\............\martin_barva8.mat

........\....\............\martin_barva9.mat

........\....\............\martin_matousek1.mat

........\....\............\martin_matousek10.mat

........\....\............\martin_matousek2.mat

........\....\............\martin_matousek3.mat

........\....\............\martin_matousek4.mat

........\....\............\martin_matousek5.mat

........\....\............\martin_matousek6.mat

........\....\............\martin_matousek7.mat

........\....\............\martin_matousek8.mat

........\....\............\martin_matousek9.mat

........\....\............\OcrTrndata.mat

........\....\............\vojta_franc1.mat

........\....\............\vojta_franc10.mat

........\....\............\vojta_franc2.mat

........\....\............\vojta_franc3.mat

........\....\............\vojta_franc4.mat

........\....\............\vojta_franc5.mat

........\....\............\vojta_franc6.mat

........\....\............\vojta_franc7.mat

........\....\............\vojta_franc8.mat

........\....\............\vojta_franc9.mat

........\....\riply_data

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