文件名称:svm-km
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支持向量机(SVM)是数据挖掘中的一个新方法，能非常成功地处理回归问题(时间序列分析)和模式识别(分类问题、判别分析)等诸多问题，并可推广于预测和综合评价等领域，因此可应用于理科、工科和管理等多种学科。目前国际上支持向量机在理论研究和实际应用两方面都正处于飞速发展阶段。它广泛的应用于统计分类以及回归分析中. 支持向量机属于一般化线性分类器.他们也可以认为是提克洛夫规则化（Tikhonov Regularization）方法的一个特例.这族分类器的特点是他们能够同时最小化经验误差与最大化几何边缘区.因此支持向量机也被称为最大边缘区分类器.
-Support vector machine, the source code
-Support vector machine, the source code
(系统自动生成,下载前可以参看下载内容)
下载文件列表
svm-km
......\AdaptScalSVM
......\............\content.asv
......\............\content.m
......\............\costlbfixed.m
......\............\costlfixed.m
......\............\costwbfixed.m
......\............\costwfixed.m
......\............\ExampledemoAdaptScal.m
......\............\ExampleFeatSelAdaptScal.m
......\............\gradlbfixed.m
......\............\gradlfixed.m
......\............\gradwbfixed.m
......\............\gradwfixed.m
......\............\LagrangeUpdate.m
......\............\SigmaUpdate.m
......\............\svmfit.m
......\............\svmfitconj.m
......\contents.asv
......\contents.m
......\cout.m
......\dataset.asv
......\dataset.m
......\dataset1.mat
......\dataset2.mat
......\dataset3.mat
......\exclass.m
......\exclass1.m
......\exclass2.m
......\exclass3.m
......\exclass4.m
......\exmulticlass.asv
......\exmulticlass.m
......\exmulticlass1.m
......\exmulticlass2.m
......\exmulticlassall.asv
......\exmulticlassall.m
......\exmulticlassall2.m
......\exmulticlasssvc.m
......\featselreg
......\..........\exfeatselreg1.m
......\..........\FeatSelregalpha.m
......\..........\FeatSelregalphaGD.m
......\..........\FeatSelregalphaGDrandom.m
......\..........\FeatSelreglinearL1.m
......\..........\FeatSelregmargin.m
......\..........\FeatSelregmarginGD.m
......\..........\FeatSelregmarginGDrandom.m
......\..........\FeatSelregr2w2.m
......\..........\FeatSelregr2w2GD.m
......\..........\FeatSelregr2w2GDrandom.m
......\..........\FeatSelregspanbound.m
......\..........\FeatSelregspanboundGD.m
......\..........\FeatSelregspanboundGDrandom.m
......\..........\hs_err_pid12796.log
......\..........\r2alpharegL2.m
......\..........\spanestimateregL2.m
......\FeatureSelection
......\................\featselcorrcoeff.m
......\................\featselkernelderivative.m
......\................\FeatSelmargdif.m
......\................\FeatSelmargdif1v1.m
......\................\FeatSelmargin.m
......\................\FeatSelr2w2.m
......\................\FeatSelr2w2diff.m
......\fileaccess.m
......\Fsvm.asv
......\Fsvm.m
......\functioneval.m
......\gauseidel.asv
......\gauseidel.m
......\gda.asv
......\gda.m
......\givrot.asv
......\givrot.m
......\guz.xls
......\hs_err_pid11468.log
......\hs_err_pid3800.log
......\hs_err_pid5512.log
......\kbp
......\...\BuildTrapScale.m
......\...\calcdistance.asv
......\...\calcdistance.m
......\...\CalcTrapScale.asv
......\...\CalcTrapScale.m
......\...\exlar.m
......\...\exlar1.m
......\...\exlarrealdata.m
......\...\exlarsignalclassif.m
......\...\exmultikernellarclass.m
......\...\HingeLAR.m
......\...\HingeLAR2.m
......\...\LAR.m
......\...\LARval.m
......\...\multiplekernel.m
......\...\normalizekernelLAR.m
......\...\plot2Ddec.m
......\...\pyrim.mat
......\...\testHingeLAR.m
......\kernelpca.asv
......\AdaptScalSVM
......\............\content.asv
......\............\content.m
......\............\costlbfixed.m
......\............\costlfixed.m
......\............\costwbfixed.m
......\............\costwfixed.m
......\............\ExampledemoAdaptScal.m
......\............\ExampleFeatSelAdaptScal.m
......\............\gradlbfixed.m
......\............\gradlfixed.m
......\............\gradwbfixed.m
......\............\gradwfixed.m
......\............\LagrangeUpdate.m
......\............\SigmaUpdate.m
......\............\svmfit.m
......\............\svmfitconj.m
......\contents.asv
......\contents.m
......\cout.m
......\dataset.asv
......\dataset.m
......\dataset1.mat
......\dataset2.mat
......\dataset3.mat
......\exclass.m
......\exclass1.m
......\exclass2.m
......\exclass3.m
......\exclass4.m
......\exmulticlass.asv
......\exmulticlass.m
......\exmulticlass1.m
......\exmulticlass2.m
......\exmulticlassall.asv
......\exmulticlassall.m
......\exmulticlassall2.m
......\exmulticlasssvc.m
......\featselreg
......\..........\exfeatselreg1.m
......\..........\FeatSelregalpha.m
......\..........\FeatSelregalphaGD.m
......\..........\FeatSelregalphaGDrandom.m
......\..........\FeatSelreglinearL1.m
......\..........\FeatSelregmargin.m
......\..........\FeatSelregmarginGD.m
......\..........\FeatSelregmarginGDrandom.m
......\..........\FeatSelregr2w2.m
......\..........\FeatSelregr2w2GD.m
......\..........\FeatSelregr2w2GDrandom.m
......\..........\FeatSelregspanbound.m
......\..........\FeatSelregspanboundGD.m
......\..........\FeatSelregspanboundGDrandom.m
......\..........\hs_err_pid12796.log
......\..........\r2alpharegL2.m
......\..........\spanestimateregL2.m
......\FeatureSelection
......\................\featselcorrcoeff.m
......\................\featselkernelderivative.m
......\................\FeatSelmargdif.m
......\................\FeatSelmargdif1v1.m
......\................\FeatSelmargin.m
......\................\FeatSelr2w2.m
......\................\FeatSelr2w2diff.m
......\fileaccess.m
......\Fsvm.asv
......\Fsvm.m
......\functioneval.m
......\gauseidel.asv
......\gauseidel.m
......\gda.asv
......\gda.m
......\givrot.asv
......\givrot.m
......\guz.xls
......\hs_err_pid11468.log
......\hs_err_pid3800.log
......\hs_err_pid5512.log
......\kbp
......\...\BuildTrapScale.m
......\...\calcdistance.asv
......\...\calcdistance.m
......\...\CalcTrapScale.asv
......\...\CalcTrapScale.m
......\...\exlar.m
......\...\exlar1.m
......\...\exlarrealdata.m
......\...\exlarsignalclassif.m
......\...\exmultikernellarclass.m
......\...\HingeLAR.m
......\...\HingeLAR2.m
......\...\LAR.m
......\...\LARval.m
......\...\multiplekernel.m
......\...\normalizekernelLAR.m
......\...\plot2Ddec.m
......\...\pyrim.mat
......\...\testHingeLAR.m
......\kernelpca.asv