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- 级联分类器检测cpp 自己编写的拥有跟踪欧氏距离方法-boosting detect object
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
123
- 生成两个均包含 N=1000个两维矢量的数据集合 和 ，数据集合中的矢量来自于三个类别模型，假设类别的先验概率由矢量 实现 给出 1. 分别画出两个数据集合。 2. 在两个数据集合上分别应用贝叶斯分类器和欧氏距离分类器。 3. 对每个数据集合每种分类器计算分类错误率-Generates two data sets contains N = 1000 and the two-dimensional vecto
MATLAB
- 一个关于sinc函数最小欧氏距离计算的程序，和仿真，研究超奈奎斯特可以借鉴-A program sinc function on the minimum Euclidean distance calculation, and simulation of Super Nyquist can learn
KNN
- 实现一个knn 分类器。 使用欧氏距离作为度量距离 使用’my_order.m’函数脚本获得某个点最近的K 个邻居 使用’my_classify.m’函数脚本获得点的类型。 给定参数k，就可以调用这两个函数完成knn 分类器功能。 -Achieve a knn classifier. Using Euclidean distance as a measure of distance using the my_or
code_1
- 在机器学习中利用欧氏距离设计一个KNN分类器，实现五折交叉验证，并用PCA进行降维-Develop a k-NN classifier with Euclidean distance and simple voting.Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy)。Use PCA to reduce t
dmatrix
- 这个程序可以计算每一对可能的点的欧氏距离,其坐标由矩阵给出-This program calculates the Euclidean distances of every possible pair of points, whose coordinates are given as rows in a matrix.
noufao_V8.5
- 研究生时的现代信号处理的作业，基于多相结构的信道化接收机，计算两个矩阵之间的欧氏距离。- Modern signal processing jobs when the graduate, Channelized receiver based on multi-phase structure, Calculation of the Euclidean distance between the two matrices.
fennang
- 计算两个矩阵之间的欧氏距离，用于时频分析算法，多抽样率信号处理。- Calculation of the Euclidean distance between the two matrices, For time-frequency analysis algorithm, Multirate signal processing.
fengseng_v58
- 插值与拟合的matlab实现，计算两个矩阵之间的欧氏距离，这个有中文注释，看得明白。- Interpolation and fitting matlab implementation, Calculation of the Euclidean distance between the two matrices, The Chinese have a comment, understand it.
kuijei_v47
- 包括主成分分析、因子分析、贝叶斯分析，计算两个矩阵之间的欧氏距离，使用大量的有限元法求解偏微分方程。- Including principal component analysis, factor analysis, Bayesian analysis, Calculation of the Euclidean distance between the two matrices, Using a large number of fini
bouyen
- 计算两个矩阵之间的欧氏距离，插值与拟合的matlab实现，汽车课设货车Matlab驱动力图程序。- Calculation of the Euclidean distance between the two matrices, Interpolation and fitting matlab implementation, Car class-based truck driver trying to Matlab program.
fangui
- 是一种双隐层反向传播神经网络，计算两个矩阵之间的欧氏距离，基于负熵最大的独立分量分析。- Is a two hidden layer back propagation neural network, Calculation of the Euclidean distance between the two matrices, Based on negative entropy largest independent component
fuijiu
- LDPC码的完整的编译码，计算两个矩阵之间的欧氏距离，随机调制信号下的模拟ppm。- Complete codec LDPC code, Calculation of the Euclidean distance between the two matrices, Random ppm modulated analog signal unde.
haifao_v72
- 计算两个矩阵之间的欧氏距离，算法优化非常好，几乎没有循环，BP神经网络的整个训练过程。- Calculation of the Euclidean distance between the two matrices, Algorithm optimization is very good, almost no circulation, The entire training process BP neural network.
hangao
- 计算两个矩阵之间的欧氏距离，欢迎大家下载学习，包含收发两个客户端程序。- Calculation of the Euclidean distance between the two matrices, Welcome to download the study, Transceiver contains two client programs.
AP-Clustering-Algorithms
- Affinity Propagation (AP) 聚类是2007年在Science杂志上提出的一种新的聚类算法。它根据N个数据点之间的相似度进行聚类,这些相似度可以是对称的,即两个数据点互相之间的相似度一样(如欧氏距离) 也可以是不对称的,即两个数据点互相之间的相似度不等。-Affinity Propagation (AP) Clustering is a new clustering algorithm in 2007 in Sci
nunjan
- 非归零型差分相位调制信号建模与仿真分析 ，计算两个矩阵之间的欧氏距离，这是一个好用的频偏估计算法的matlab仿真程序。- NRZ type differential phase modulation signal modeling and simulation analysis, Calculation of the Euclidean distance between the two matrices, This is a usef
naopeng
- 相参脉冲串复调制信号，用MATLAB实现动态聚类或迭代自组织数据分析，计算两个矩阵之间的欧氏距离。- Complex modulation coherent pulse train signal, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Calculation of the Euclidean distance between
peiqing
- 计算两个矩阵之间的欧氏距离，MinkowskiMethod算法 ,随机调制信号下的模拟ppm。- Calculation of the Euclidean distance between the two matrices, MinkowskiMethod algorithm, Random ppm modulated analog signal unde.