文件名称: svdd下载 收藏√ [
5 4 3 2 1 ]
开发工具: matlab
文件大小: 1738 KB
上传时间: 2014-10-14
下载次数: 18
提 供 者: 常贵春
详细说明:单值分类,包括很多的工具函数,使用时直接调用就可,用起来相当方便的,欢迎大家下载-svdd anewmethodofone2classclassificationofmechanicalfault2supportvectordatadescriptionwasproposedinwhichtheone2classclassifiercanbesetupbyusingonlyonekindoftargetsamplewithoutknowingotheroutliersamples
文件列表(点击判断是否您需要的文件,如果是垃圾请在下面评价投诉):
svdd\dd_manual2.0.0.pdf
....\...tools_2_0_2\dd_tools\abof_dd.m
....\..............\........\askerplot.m
....\..............\........\auclpm.m
....\..............\........\autoenc_dd.m
....\..............\........\ball_dd.m
....\..............\........\center.m
....\..............\........\change_R.m
....\..............\........\checkprversion.m
....\..............\........\chull_dd.m
....\..............\........\consistent_occ.m
....\..............\........\Contents.m
....\..............\........\createA.m
....\..............\........\dd_aic.m
....\..............\........\dd_auc.m
....\..............\........\dd_auc2.m
....\..............\........\dd_aucostc.m
....\..............\........\dd_confmat.m
....\..............\........\dd_costc.m
....\..............\........\dd_crossval.m
....\..............\........\dd_delta_aic.m
....\..............\........\dd_eer.m
....\..............\........\dd_error.m
....\..............\........\dd_ex1.m
....\..............\........\dd_ex10.m
....\..............\........\dd_ex11.m
....\..............\........\dd_ex12.m
....\..............\........\dd_ex13.m
....\..............\........\dd_ex14.m
....\..............\........\dd_ex15.m
....\..............\........\dd_ex2.m
....\..............\........\dd_ex3.m
....\..............\........\dd_ex4.m
....\..............\........\dd_ex5.m
....\..............\........\dd_ex6.m
....\..............\........\dd_ex7.m
....\..............\........\dd_ex8.m
....\..............\........\dd_ex9.m
....\..............\........\dd_f1.m
....\..............\........\dd_fp.m
....\..............\........\dd_gridsearch.m
....\..............\........\dd_kappa.m
....\..............\........\dd_kernel.m
....\..............\........\dd_label.m
....\..............\........\dd_loglikelihood.m
....\..............\........\dd_looxval.m
....\..............\........\dd_meanprec.m
....\..............\........\dd_message.m
....\..............\........\dd_normc.m
....\..............\........\dd_prc.m
....\..............\........\dd_proxm.m
....\..............\........\dd_roc.m
....\..............\........\dd_roc_old.m
....\..............\........\dd_setfn.m
....\..............\........\dd_threshold.m
....\..............\........\dd_version.m
....\..............\........\dissim.m
....\..............\........\dist2dens.m
....\..............\........\dkcenter_dd.m
....\..............\........\dknndd.m
....\..............\........\dlpdd.m
....\..............\........\dlpdda.m
....\..............\........\dlpsdd.m
....\..............\........\dnndd.m
....\..............\........\fastmcd.m
....\..............\........\find_target.m
....\..............\........\gausspdf.m
....\..............\........\gauss_dd.m
....\..............\........\gendatblockout.m
....\..............\........\gendatgrid.m
....\..............\........\gendatkriegel.m
....\..............\........\gendatoc.m
....\..............\........\gendatout.m
....\..............\........\gendatoutg.m
....\..............\........\gendatouts.m
....\..............\........\getfeattype.m
....\..............\........\getoclab.m
....\..............\........\getrocw.m
....\..............\........\gower.m
....\..............\........\inckernel.m
....\..............\........\incsvc.m
....\..............\........\incsvdd.m
....\..............\........\inc_add.m
....\..............\........\inc_remove.m
....\..............\........\inc_setup.m
....\..............\........\inc_store.m
....\..............\........\ind2vec.m
....\..............\........\isocc.m
....\..............\........\isocset.m
....\..............\........\istarget.m
....\..............\........\is_occ.m
....\..............\........\is_ocset.m
....\..............\........\kcenter_dd.m
....\..............\........\kmeans_dd.m
....\..............\........\knndd.m
....\..............\........\knn_optk.m
....\..............\........\ksvdd.m
....\..............\........\kwhiten.m
....\..............\........\locidd.m
....\..............\........\lociplot.m
输入关键字,在本站259万海量源码库中尽情搜索:
帮助
[svdd.rar] - 支持向量数据的matlab算法程序,用于一类分类,欢迎大家下载
[exp15_svdd.rar] - 高斯核支持向量数据描述(svdd)方法的源代码
[dd_tools_2_0_2.zip] - svdd详细步骤 需安装PRtools工具箱
[PSO-matching.zip] - 粒子群算法实现图像匹配,用目标图像作为搜索域,与模板图像进行匹配。
[svdd.rar] - 算法svdd工具箱,用于一类分类。是最重要的一类算法
[support_vector_data_Description.rar] - Support Vector Data Description svdd MATLAB 编程
[multi-svdd2.rar] - MULTI svdd BASE ON PSUDO DENSITY
[FDAsvdd.rar] - 构造基于FDA-svdd的串级混联融合方式,设计基于SVDD的加权归一化半径模式判别准则。