manifold_新浪博客

(2012-08-05 20:14)

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杂谈

Dear Dr/ Prof..（写上负责你文章编辑的姓名，显得尊重，因为第一次的投稿不知道具体负责的编辑，只能用通用的Editors）:

On behalf of my co-authors, we thank you very much for giving us an opportunity to revise our manuscript, we appreciate editor and reviewers very much for their positive and constructive comments and suggestions on our manuscript entitled “Paper Title”. (ID: 文章稿号).

We have studied reviewer’s comments carefully and have made revision which marked in red in the paper. We have tried our best to revise our manuscript according to the comments. Attached please find the revised version, which we would like to submit for your kind consideration.

We would like to express our great appreciation to you and reviewers for comments on our paper. Looking forward to hearing from you.

Thank you and best regards.

Yours sincerely,

××××××

Corresponding author:

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PCA的matlab程序

(2011-04-27 07:04)

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PCA的matlab程序

模式识别与图像处 2010-10-12 13:20:31 阅读67 评论0 字号：大中小订阅

程序说明：y = pca(mixedsig)，程序中mixedsig为 n*T 阶混合数据矩阵，n为信号个数，T为采样点数, y为 m*T 阶主分量矩阵。程序设计步骤：
1、取均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于

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几种常见模式识别算法整理和总结

(2011-04-11 08:19)

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几种常见模式识别算法整理和总结



这学期选了门模式识别的课。发现最常见的一种情况就是，书上写的老师ppt上写的都看不懂，然后绕了一大圈去自己查资料理解，回头看看发现，Ah-ha，原来本质的原理那么简单

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matlab中princomp,pcacov,pcares,barttes…

(2011-03-27 12:27)

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matlab中princomp,pcacov,pcares,barttest四大分析函数的应用如下：

1.princomp
   功能：主成分分析
   格式：PC=princomp(X)
             [PC,SCORE,latent,tsquare]=princomp(X)
   说明：[PC,SCORE,latent,tsquare]=princomp(X)对数据矩阵X进行主成分分析，给出各主成分(PC)、所谓的Z-得分    (SCORE)、X的方差矩阵的特征值(latent)和每个数据点的HotellingT2统计量(tsquare)。

2.pcacov
   功能：运用协方差矩阵进行主成分分析
   格式：PC=pcacov(X)
  &

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