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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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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
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欧式距离PAM聚类算法，利用欧式度量聚类真实数据集和实际数据集用于对各类数据分类-Euclidean distance the PAM clustering algorithms using the European metric clustering real data sets and real data sets for the various types of data classification
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字符识别的源码，可识别数字和英文。包括图像处理和模式识别的内容。图像处理包含转灰度图、二值化、滤波、细化、分割、规格化等。模识别部分包含欧式距离的模板匹配和BP神经网络。-Character recognition source code, can recognize numbers and English. Including image processing and pattern recognition. Contains to grayscale image processing, bi
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DISTEU Function
DISTEU Pairwise Euclidean distances between columns of two matrices
Input:
x, y: Two matrices whose each column is an a vector data.
Output:
d: Element d(i,j) will be the Euclidean distance between two
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利用k-means算法进行聚类，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最有分类，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。-Algorithm using k-means clustering, K-means algorithm Euclidean distance as a similarity measure, it is the pursuit of the vector V corresponding to a initial
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It calculates Euclidean distance between two GPS data points.
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关于4-12APSK,5-11APSK,6-10APSK几种星座构造的最优化设计及仿真，通过欧氏距离的对比，得出最优化设计-4-12APSK ,5-11APSK ,6-10APSK several constellations constructed optimization design and simulation, optimization design obtained by the comparison of the Euclidean distance
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基于K-L变换的人脸识别技术主要思想是：提取输入人脸图像矩阵的特征向量，并与图像数据库中样本特征的向量求欧氏距离，距离小于阈值时便认为识别成功。本程序即为利用K-L原理实现人脸检测的实例。-The main idea of the face recognition technology based on KL transform is: extract the matrix of the input face image feature vectors and Euc
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这6个程序可用于0—9的数字识别，算法包括：基于类中心的欧式距离法、马氏距离法、夹角余弦距离法
、二值化的夹角余弦距离法、二值化的Tanimoto测度法和增量校正算法，均为基于matlab软件编写的程序。学会了这几个算法，可以在这些程序的基础上进行扩展，对三维模型识别算法的编程有一定的帮助。-6 program can be used 0-9 digit recognition, algorithms include: class center Euclidean distance, Mah
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对qam在瑞利信道下的性能进行仿真，使用最小欧氏距离法进行判别-On QAM performance in Rayleigh channel simulation, using the minimum Euclidean distance method to discriminate
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QAM调制的欧氏距离法解调过程，较之硬判决性能更好-The Euclidean distance of the QAM modulation demodulation process, performance is better than the hard decision
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Face Recognition System based on LabVIEW
The general process is as follows. Firstly, the original data is captured by a web camera and then transferred from RGB color space to YUV color space, where it is easier to tell the skin area from non-skin
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本系统通过将基于改进的加权的局域颜色直方图的图像检索方法和全局直方图的图像检索方法相结合，提高查全率和查准率。其中，基于分块局域直方图的检索方法利用了图像中间部分的重要性，将图像平均划分成3×3个子块，取中间一块的图像，计算其与参考位图相应位置的颜色特征距离，再计算原图的颜色直方图与参考位图的颜色特征距离，分别赋予权值后得出的值就是图像之间内容的相似程度。本文引入欧氏距离的相似性度量方法实现图像检索。实验表明，该方法具有较好的查全率和查准率。-The system through a combi
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对彩色图像进行分层，并且使用欧式距离和马氏距离作为辅助计算，效果很好。-Stratified, the color image and use the Euclidean distance and Mahalanobis distance as an auxiliary, the effect is very good.
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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
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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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Curently five algorithms are included:
1. A* (using Manhattan distance)
2. A* (using Euclidean distance)
3. A* (using Chebyshev distance)
4. Dijkstra
5. Bi-Directional Breadth-First-Search- Curently five algorithms are included:
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This paper has a further exploration and study of visual feature extraction. According to the HSV (Hue, Saturation, Value) color space, the work of color feature extraction is finished, the process is as follows: quantifying the color space in non-eq
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this classifier using Euclidean distance measure for palm print recognition-this is classifier using Euclidean distance measure for palm print recognition
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