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jiyuneirongdetuxiangjiansuo
- 基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram; Texture characteristics of simila
K-meaneuclideandistance
- 这个是采用欧氏距离下的K-means算法的matlab实现-this is the Euclidean distance between the K-means algorithm to achieve the Matlab
matlab-code-based-image-retrieval
- 基于图像检索的matlab代码，基于内容的图像检索中的一些关键环节：特征提取：颜色直方图；纹理特征等 相似度：马氏距离，欧氏距离等 相关反馈：机器学习方法，如SVM，神经网络等 检索与分类：两个很相似的样本距离很小，虽然两个不相似的样本距离未必很大-content-based image retrieval of some of the key issues : Feature Extraction : color histogram Texture characteristics of si
KMeans
- kmeans的算法，利用欧氏距离来算，c-kmeans c++
julicedu
- 改进欧氏距离测度算法，可以比较特征向量的距离相似度-Improved algorithm Euclidean distance measure, you can compare the similarity distance of feature vectors
PCASVDD
- 针对故障辨识诊断，提出新型未知故障辨识的加权归一化半径判别法，与欧氏距离和归一化半径判别作比较，证明了该方法的有效性。-Failure to diagnose against new, unknown fault identification proposed weighted normalized radius discrimination law, and Euclidean distance and normalized radius of discrimination as compar
KNN
- 自己编写的最近邻KNN算法，采用的距离是欧氏距离，附加了详细的中文注释，还有一个测试集和一个训练集- I have written KNN nearest neighbor algorithm, the distance is the Euclidean distance, additional detailed notes in Chinese, as well as a test set and a training set
RBF
- RBF神经网络：rbf原理：所谓径向基函数(Radial Basis Function 简称 RBF），就是某种沿径向对称的标量函数。通常定义为空间中任一点x到某一中心xc之间欧氏距离的单调函数，可记作 k(||x-xc||），其作用往往是局部的，即当x远离xc时函数取值很小。最常用的径向基函数是高斯核函数，形式为 k(||x-xc||)=exp{- ||x-xc||^2/（2*σ）^2） } 其中xc为核函数中心，σ为函数的宽度参数，控制了函数的径向作用范围。在RBF网络中，这两个参数往往是可
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.
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 finite element method to solve par
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.
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 useful frequency estimation algori
fengjou_v26
- 非归零型差分相位调制信号建模与仿真分析 ，实现了对10个数字音的识别，计算两个矩阵之间的欧氏距离。- NRZ type differential phase modulation signal modeling and simulation analysis, To achieve the recognition of 10 digital sound, Calculation of the Euclidean distance between the two matrices.
guiqui_v16
- 一些自适应信号处理的算法，计算两个矩阵之间的欧氏距离，基于matlab GUI界面设计。- Some adaptive signal processing algorithms, Calculation of the Euclidean distance between the two matrices, Based on matlab GUI interface design.
kaoming_V1.5
- STM32制作的MP3的全部资料，采用的是脉冲对消法，计算两个矩阵之间的欧氏距离。- STM32 all the information produced by the MP3, It uses a pulse of consumer law, Calculation of the Euclidean distance between the two matrices.
gingbang_v64
- 基于负熵最大的独立分量分析，连续相位调制信号(CPM)产生，计算两个矩阵之间的欧氏距离。- Based on negative entropy largest independent component analysis, Continuous phase modulation signal (CPM) to produce, Calculation of the Euclidean distance between the two matrices.
hieqou_v56
- 计算两个矩阵之间的欧氏距离，关于超声波倒车雷达测距的，基于人工神经网络的常用数字信号调制。- Calculation of the Euclidean distance between the two matrices, About ultrasonic parking radar ranging, The commonly used digital signal modulation based on artificial neural network.
santiu_v60
- 欢迎大家下载学习，BP神经网络的整个训练过程,计算两个矩阵之间的欧氏距离。- Welcome to download the study, The entire training process BP neural network, Calculation of the Euclidean distance between the two matrices.
neifou
- 迭代自组织数据分析，使用matlab实现智能预测控制算法，计算两个矩阵之间的欧氏距离。- Iterative self-organizing data analysis, Use matlab intelligent predictive control algorithm, Calculation of the Euclidean distance between the two matrices.
test
- 时间序列欧式距离度量；欧几里得距离；时间序列的欧氏距离相似度(Euclidean Distance Measurement of Time Series)