资源列表
Efficient Large Scalce Clustering
- Research paper on cure clustering
KPCA
- 关于KPCA的详细算法说明 并附有相关例子-Detailed descr iption of KPCA algorithm on together with relevant examples
log-quant-for-data-hiding
- a novel arrangement for quantizer levels in the Quantization Index Modulation (QIM) method is proposed. Due to perceptual advantages of logarithmic quantization, and in order to solve the problems of a previous logarithmic quantizationbased m
Genetic
- 遗传算法解决TSP问题，通过VC++解决实际问题-Genetic algorithm to solve TSP problem, by VC++ to solve practical problems
ID3决策树算法实验
- 决策树ID3算法实验_数据集car_databases。用python编写的决策树ID3算法，运用了Car-Evaluation的例子。BUG较少，综合了网上的优秀代码，并进一步形成自己的代码。代码基本有注释，风格良好，能够很快看懂。内含有比较规范的报告文档，包含所有流程图，说明图，以及文档风格绝对不错，无需更改，建议下载！ 该算法所测试的数据集如下（已经打包在内，并已经生成xls格式，方便直接使用）： 已知：UCI标准数据集Car-Evaluation，定义了汽车性价比的4 个
seg
- 选取读入一份彩色图像，在运行Untitled.m程序时先用鼠标交互的选取一个颜色区域作为你要与其他色彩分割的目标，进行分割，鼠标选取好后，按ENTER健后出现分割节后。-Select a color image reading, the program is running Untitled.m interact with the mouse as you select a colored area to target with other color segmentation, segment
scadsvmCode
- scadsvm算法 非常不错 使用scad惩罚的svm算法，可用于分类-scadsvm algorithm is very good use of scad punishment svm algorithm, used to classify
Neural-Networks01 很好的神经网络程序代码
- 一份很好的神经网络程序代码，包括bp\som\hopfield\bolziman\ART神经网络的示例代码。是学习神经网络很好的资料，可举一反三、一举多得。-A good neural network code, including bp \ som \ hopfield \ bolziman \ ART neural network sample code. Learning neural network is very good information, can learn by analo
matlab_数字图像处理源程序
- 是一本教科书的各个章节的源程序代码,适合初学数字图像的人-is a textbook sections of the source code, suitable for beginners digital images of people
bianlunyu
- 提供几篇变论域模糊控制的文章，希望能对大家有帮助-There are some papers for fuzzy control ,I hopt it can help somebody
23508955
- 很少的steiner算法,大家可以一起来研究一下()
clustering-presentations
- This package contains presentations and pdfs related to data clustering.Some of the algorithms discussed in this zip file are kmeans,cure-This package contains presentations and pdfs related to data clustering.Some of the algorithms discussed in this