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pca(matlab)
一个PCA用于人脸识别的程序，不知道有没有，先传了供大家参考下。 (a PCA for face recognition procedures, I do not know any first-of reference for everyone under.)
- 2006-07-16 12:35:50下载
- 积分：1
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KGaussian1
说明： 核函数中经常用到的高斯核核函数的matlab程序(Kernel function often used in the Gaussian kernel function matlab nuclear program)
- 2021-03-24 16:59:14下载
- 积分：1
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Proficient-matlab7
精通matlab7是国外权威所写的matlab参考书，涉及到了国内书籍很少提到的一些问题，值得一看。(The proficient matlab7 foreign authoritative written matlab reference book, it comes to the domestic books rarely mention some issues, worth a visit.)
- 2013-01-27 11:08:27下载
- 积分：1
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gamble
利用matlab平台，使用蒙特卡洛的方法模拟赌徒问题(Using matlab platform, the use of Monte Carlo simulation problem gamblers)
- 2013-10-28 18:36:46下载
- 积分：1
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lms
自适应滤波器,LMS最陡下降法的matlab原代码,需要的可以下(Adaptive filter, LMS steepest descent method of matlab source code needed to make)
- 2007-09-10 17:13:25下载
- 积分：1
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GA_3_1
这是一个视频文件，它是关于遗传算法多目标优化的视频(This is a video file, it is about multi-objective genetic algorithm to optimize the video)
- 2009-06-08 18:51:23下载
- 积分：1
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TD-SCDMA_MIMO-OFDM
这是一个基于TD－SCDMA系统mimo－ofdm的系统级的仿真模型，希望对大家有用。(This is a based on TD-SCDMA system mimo- ofdm of system-level simulation model We hope that the right useful.)
- 2007-05-10 10:40:45下载
- 积分：1
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mathematica
mathematica全书(中文特别版)(the mathematica book is (Chinese Special edition))
- 2013-03-22 18:43:00下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
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SVDD
svdd分类 用matlab实现的svdd算法 挺好用的(Svdd classification svdd algorithm implemented with matlab is very easy to use)
- 2018-12-25 13:24:53下载
- 积分：1
