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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
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This function computes Euclidean distance transform for 3D binary image with non-trivial aspect ratio (i.e. anisotropic pixels). The algorithm uses fast optimized line-scans and is actually faster than MATLAB s BWDIST implementation of search on opti
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MATLAB实现的聚类分析，距离计算使用欧式距离，然后采用下三角矩阵进行聚类。-MATLAB implementation of the cluster analysis, the distance calculated using the Euclidean distance, and then use a lower triangular matrix clustering.
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语音/心音信号中的计算欧氏距离matlab源代码，已调试过，可以用-in speech signal or heart sounds accounting for Euclidean distance with matlab codes
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自己制作基于“欧氏距离的算法”来识别文字的相似性，从而来识别手写文字的程序，开发环境是matlab.需要讲手写的字加到字库才可以哦。-Produce their own based on the " Euclidean distance algorithm" to identify the similarity of the text, handwritten text in order to identify the procedures, the development e
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一种实现流形学习ISOMAP的matlab算法 即将mds中的欧氏距离替换为测地距离 保证其拓扑空间不变 实现数据的特征提取-An matlab program that can realize ISOMAP algorithm. To replace the Euclidean distance to the distance measurement.To ensure the realization of the same topological space data feature ext
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基于matlab环境下的最大最小距离聚类的程序。距离度量为欧式距离。-Based on the maximum and minimum distance clustering in Matlab environment program. The distance measure is the Euclidean distance.
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同学的毕业设计，用matlab编的关键帧提取的代码，参考了光流法的代码。是基于帧差的欧式距离，均值，方差，差异系数下的关键帧提取。代码调试通过，运行结果理想，与大家分享下-Students graduating from the design using matlab key frame extraction code, reference optical flow method code. Frame difference is based on the Euclidean distance,
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本源码是基于MATLAB实现车牌识别并语音播报。
本系统针对家庭小型车蓝底白字车牌进行识别。根据彩色图像的RGB比例定位出近似蓝色的候选区域。但是由于RGB三原色空间中两点间的欧氏距离与颜色距离不成线性比例，在设定蓝色区域的定位范围时不能很好的控制。因此造成的定位出错是最主要的。这样在图片中出现较多的蓝色背景情况下识别率会下降，不能有效提取车牌区域。对此本文提出了自适应调节方案。对分割出来的区域进行识别调整。根据长宽比，蓝白色比对候选区域进行多次定位。最终找到车牌区域。
对字符正确识别之
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In this work, the Mel frequency Cepstrum Coefficient
(MFCC) feature has been used for designing a text
dependent speaker identification system. The extracted
speech features (MFCC’s) of a speaker are quantized to a
number of centroids using v
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Matching Pursuit and orthogonal matching pursuit, Calculation of the Euclidean distance between the two matrices, Gabor wavelet transform and PCA face recognition code.
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Pattern Recognition bayes discriminant analysis algorithm, Clustering analysis based on Euclidean distance, matlab wavelet analysis program.
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To achieve the recognition of 10 digital sound, Calculation of the Euclidean distance between the two matrices, Genetic algorithms using MATLAB path planning.
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Six degrees of freedom to achieve inverse kinematics algorithm, Independent component analysis for image processing, Calculation of the Euclidean distance between the two matrices.
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Machine learning routines, High simulation efficiency, Calculation of the Euclidean distance between the two matrices.
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Clustering analysis based on Euclidean distance, matlab implements five gray correlation degree computing model, Calculating a target and ocean echo power spectral density.
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Using a large number of finite element method to solve partial differential equations, The title of the commercial is undergraduate course you Calculation of the Euclidean distance between the two matrices.
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pca人脸识别算法,人脸检测，欧式距离，特征向量求法等。(PCA face recognition algorithm, face detection, Euclidean distance, eigenvector method and so on.)
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K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototy
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采用了欧氏距离和模糊算法两种方式进行了FCM聚类分析，利用FCM聚类分析解决了交通状况的判别算法，文件里面还有相关文献！(Using Euclidean distance and fuzzy algorithm, FCM clustering analysis is used to solve the traffic situation.)
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