LDA
所属分类：图形图像处理
开发工具：matlab
文件大小：55KB
下载次数：303
上传日期：2009-08-06 20:40:35
上 传 者：
lanqinxianzi
说明： 线性判别分析（LDA）用于特征选择，可以对数据集或者图像提取有用特征，用于分类或者聚类等机器学习应用中
(Linear Discriminant Analysis (LDA) for feature selection, application in dataset or image feature extraction, for classification or clustering applications in machine learning)
文件列表:
线性判别分析LDA\abut (24576, 1997-10-14)
线性判别分析LDA\all-correlate (450, 1997-10-14)
线性判别分析LDA\auc.m (229, 1997-10-14)
线性判别分析LDA\backward.m (177, 1997-10-14)
线性判别分析LDA\bernoulli.m (145, 1997-10-14)
线性判别分析LDA\binvar.m (347, 1997-10-14)
线性判别分析LDA\boxplot.m (255, 1997-10-14)
线性判别分析LDA\cauchy.m (54, 1998-01-16)
线性判别分析LDA\cdf_norm.m (153, 1997-10-14)
线性判别分析LDA\check_result (72, 1997-10-14)
线性判别分析LDA\chisq.m (453, 1997-10-22)
线性判别分析LDA\classify.m (574, 1997-11-18)
线性判别分析LDA\classify_new.m (203, 1997-10-14)
线性判别分析LDA\classify_rate.m (254, 1997-10-14)
线性判别分析LDA\clindisc.m (403, 1997-10-14)
线性判别分析LDA\concordance.m (518, 1997-10-14)
线性判别分析LDA\Contents.m (2627, 1998-04-28)
线性判别分析LDA\Contents.m~ (2606, 1998-01-30)
线性判别分析LDA\corr.ptr (1795, 1997-10-27)
线性判别分析LDA\corr.pts (0, 1997-10-28)
线性判别分析LDA\cpruned_lindisc.m (370, 1997-10-22)
线性判别分析LDA\culindisc.m (203, 1997-10-21)
线性判别分析LDA\data (980, 1997-10-14)
线性判别分析LDA\deuclid.m (224, 1997-10-14)
线性判别分析LDA\dmeuclid.m (244, 1997-10-14)
线性判别分析LDA\ex_duda.m (347, 1997-10-14)
线性判别分析LDA\format_result (314, 1997-10-14)
线性判别分析LDA\forward (44044, 1998-04-28)
线性判别分析LDA\forward.m (807, 1998-04-28)
线性判别分析LDA\forwards.m (1417, 1998-04-28)
线性判别分析LDA\forward_class.m (736, 1998-04-28)
线性判别分析LDA\forward_class_patt.m (373, 1998-04-28)
线性判别分析LDA\fwd-linear (543, 1998-04-28)
线性判别分析LDA\gauss.m (279, 1997-10-14)
线性判别分析LDA\gaussian2D.m (710, 1997-10-14)
线性判别分析LDA\getthresh.m (403, 1997-10-14)
线性判别分析LDA\kappa.m (594, 1997-10-14)
线性判别分析LDA\knn.m (1084, 1997-10-14)
线性判别分析LDA\ks.m (440, 1997-10-14)
线性判别分析LDA\ksone.m (583, 1997-10-14)
... ...
STATBAG version 1
April 28 19***.
General statistical routines.
INSTALLATION
------------
Put these routines in a directory DIRNAME and then put
that directory on you MATLABPATH and PATH
unix environment variables. Set this up
in your .login file.
It is important that both MATLABPATH and PATH
are set up correctly.
Then, in Matlab, type help DIRNAME (just the last bit, not
the full path) to see an overview of what functions
are available.
C-CODE
------
Two of the routines; forward and forwards use a C-executable
called forward.
The source for this is available separately in the package SFS.
近期下载者：
相关文件：
收藏者：