-
logreg
一个用logistic模型编写的细胞生长曲线的模拟程序。(Prepared using a logistic model for cell growth curve of simulation program.)
- 2010-02-24 21:54:08下载
- 积分:1
-
matlab
一共15章,详细介绍了matlab的使用方法,是学习matlab的很好的教程。(A total of 15 chapters, details the use of matlab is a good tutorial to learn matlab.)
- 2013-03-22 14:58:22下载
- 积分:1
-
dijkstra
Dijkstra routing algorithm example
- 2014-02-13 18:36:29下载
- 积分:1
-
MATLAB-transmission
this code is about different types of digital communications
- 2014-01-24 03:15:40下载
- 积分:1
-
edge
matlab code about image processing
- 2009-12-01 19:41:34下载
- 积分:1
-
speech_recognition
speech recognition MAtlab source code
- 2010-01-17 21:43:13下载
- 积分:1
-
ImageFusion_SSSDI
厦门大学屈小波老师2014年图像融合新文及matlab代码。(High quality multi-focus image fusion using self-similarity and depth information )
- 2014-12-22 21:25:48下载
- 积分:1
-
eemdygk
这个程序是一个具有EEDM信号分解的模块程序,它能够将输入的信号进行EEDM分解,从而得到所需要的各个信号分量。(This program is a signal having EEDM decomposition module program, the input signal that can be EEDM decomposition, thereby obtaining desired signal components.)
- 2015-01-20 09:44:31下载
- 积分:1
-
SPR3layeranglelongrange
用于计算传统表面等离子体共振角度谱的反射率曲线(Conventional surface plasmon resonance is used to calculate the spectral reflectance curves of the angle)
- 2013-12-16 20:14:57下载
- 积分:1
-
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