搜索资源列表
c_modify
- 在matlab环境下利用c均值聚类方法解决非监督分类问题-Matlab environment in the use of c-means clustering method to solve the problem of non-supervised classification
K-means
- 经典的K-means对非链接主题无关网页关键资源页面判定-Classical K-means to link the theme of non-critical resources not related to the page to determine page
entati
- 非局部加权模糊C均值聚类图像分割Non-locally weighted fuzzy C-means image segmentation-Non-locally weighted fuzzy C-means image segmentation
attitude-determinati-
- 多GPS天线姿态确定程序，包括文件读取、单点定位、双差定位、坐标转换以及姿态确定等。-a MATLAB toolbox for determining the attitude of a rigid platform by means of multiple non-dedicated antennas using global positioning system is presented. The programs embedded in this toolbox cover t
NLM
- 关于非局部均值去噪的典型例子，里面有详细注解，很实用-Typical examples of non-local means on de-noising, which has detailed notes, it is practical
Cluster_K-means
- k中心算法的基本过程是:首先为每个簇随意选择一个代表对象，剩余的对象根据其与每个代表对象的距离（此处距离不一定是欧氏距离，也可能是曼哈顿距离）分配给最近的代表对象所代表的簇；然后反复用非代表对象来代替代表对象，以优化聚类质量。聚类质量用一个代价函数来表示。当一个中心点被某个非中心点替代时，除了未被替换的中心点外，其余各点被重新分配。-The basic process k center algorithm is: First free to choose a delegate object fo
Untitled2
- k—means函数，RBF网络能够逼近任意的非线性函数，可以处理系统内的难以解析的规律性，具有良好的泛化能力，并有很快的学习收敛速度，已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。(k-means function, RBF network can approximate any non-linear function, can deal with difficult-to-resolve regularity in the sys