资源列表
lzw
- LZW compression and decompression
EM-Algorithm
- EM算法 , EM算法是机器学习中一个很重要的算法，即期望最大化算法-EM algorithm, EM algorithm is a very important machine learning algorithm, that is, expectation maximization algorithm
kmeans
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means algorithm takes parameters k and then advance the input data object is divided into n-k-clustering in order to make
hafumanshu
- c语言实现的哈夫曼树源代码，找到最小长度的编码-the source code of the huffman tree
FastICA_25
- 介绍关于fastica的一组matlab代码，很实用-Describes a group of about fastica matlab code, very useful
FuzzyCM
- 一个包含多个matlab文件的工具包，利用它可以方便使用模糊c均值聚类-Matlab file contains more than one kit, using it can easily use the fuzzy c means clustering
jade_1
- 介绍jade的matlab代码，保证准确，另外有一幅图像是sar图像-Jade' s matlab code introduced to ensure the accuracy, another image is sar image
Majority
- A matlab source code for majority rule in cellular automata
elgamal
- matlab利用maple的强大的函数功能实现ELGamla算法，是matlab的效率更高。-matlab function using maple powerful features to achieve ELGamla algorithm is more efficient matlab.
minimum
- minimization of a function with matlab source code
newtraph
- newton raphson method for solving nonlinear equations
soal5steepest
- steepest decend method for solving nonlinaer algebraic equations