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Description: 用于模式识别
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Size: 6346 |
Author: xidian000 |
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Description: Parzen 窗 和 K近邻法进行概率密度估计 还带一个示波器控件.-Parzen window and K-nearest neighbor method probability density is estimated to bring an oscilloscope control.
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Size: 51200 |
Author: 肖龙远 |
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Description: 本程序是一个最近邻分类算法的演示程序，本程序完成了三种最近邻的演示并实现算法的分析-this procedure is a nearest neighbor classification algorithm the demo program, the completion of a three- Nearest Neighbor algorithm demonstration and analysis
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Size: 283648 |
Author: luxiangzz |
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Description: 程序实现了.net环境下，C++语言的手写数字识别，程序对手写数据进行了去边框处理，采用最近邻法进行了分类-achieved with the program. Net environment, the C language handwritten numeral recognition, procedures for handwritten data to the frame, using nearest neighbor method of classification
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Size: 2330624 |
Author: 江南 |
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Description: 模式识别作业——用平均样本法，平均距离法，最近邻法和K近邻法进行分类-pattern recognition operations-- with the average sample, the average distance, nearest neighbor and K-nearest-neighbor classification
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Size: 2048 |
Author: hiamy0313 |
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Description: K近邻法的matlab程序，发现大家都在找它！-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
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Size: 2048 |
Author: wang |
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Description: 近邻法的matlab 程序,采用1近邻法,多分剪辑的方式,有助于对近邻法的理解-Matlab neighbor law procedures, the use of one neighbor method, multi-way sub-clips, contribute to the understanding of neighbors Law
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Size: 2048 |
Author: luozhenbao |
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Description: 平台：VS2005
描述：这是华东师大模式识别课程的第三个Homework。用C#实现的人脸识别小程序，算法采用K阶近邻法，人脸图片来自Yale Database。上传的压缩文件里面有我的report和工程文件夹的打包。-Platform: VS2005 Description: This is a pattern recognition course ECNU third Homework. With C# Applet to achieve face recognition algorithm using K-order neighbor of law, human face images from the Yale Database. From there the compressed file my report and engineering package folder.
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Size: 3486720 |
Author: luoxi |
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Description: 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法，非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法，其基本思想相当直观：Rocchio法来源于信息检索系统，后来最早由Hull在1994年应用于分类[74]，从那以后，Rocchio方法就在文本分类中广泛应用起来。-Naive Bayes (Naive Bayes, NB) algorithm is commonly used in the field of machine learning a classification algorithm based on probability is very simple and effective. k neighbor method (k-Nearest Neighbor, kNN) [30,31], also known as case-based (Example-based, Instance-bases) of the algorithm, the basic idea quite intuitive: Rocchio law from the Information Retrieval System, and later was first proposed by the Hull in 1994, applies to classification [74], since then, Rocchio method of classification in the text with extensive application.
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Size: 96256 |
Author: 许梁 |
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Description: 详细讲解了模式识别的算法理论，如近邻法，贝叶斯决策理论等，以及人工神经网络的主要算法-Detailed account of the theory of pattern recognition algorithms, such as neighbor method, Bayesian decision theory, as well as artificial neural network algorithm
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Size: 2390016 |
Author: 李小燕 |
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Description: 人脸识别matlab程序，采用五阶近邻法实现-Face recognition matlab procedures, the use of fifth-order neighbor method
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Size: 2048 |
Author: docaviar |
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Description: 在matlab环境下，利用近邻法解决非线性分类问题-In the matlab environment, the use of neighbor method to solve nonlinear classification problems
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Size: 4096 |
Author: 王渝 |
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Description: 模式识别中的K近邻法和快速K近邻法的VC＋＋实现-Pattern Recognition and rapid K neighbors K neighbors law VC to achieve
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Size: 52224 |
Author: lsj |
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Description: 本实验采用双线形插值技术进行图像的缩放。该方法输出的像素值是它在输入图像中2*2邻域采样点的平均值，它根据某像素周围4个像素的灰度值在水平和垂直方向两个方向上对其插值。在进行图像缩放时，其考虑到了相邻近的像素点间的关系。这种平均算法具有放锯齿效果，创造出来的图像拥有平滑的边缘，锯齿难以察觉，所以相对于最近邻法，其的效果比较好。在进行程序设计时，程序的输入参数为图像矩阵和结果图像的水平和垂直方向的像素数，可以忽略混叠效应。在程序运行之后可以对其前的实验结果进行比较分析异同，进而更深刻的理解最近邻插值和双线性插值的原理方法以及各自的优缺点。-err
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Size: 995328 |
Author: jhm |
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Description: 先用C-均值聚类算法程序，并用下列数据进行聚类分析。在确认编程正确后，采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X（设X样本的4个分量x1=x2=x3=x4=6；子集数l=3）的最近邻节点和3-近邻节点及X与它们之间的距离。-First C-means clustering algorithm procedures and with the following data for cluster analysis. After confirming the correct programming, using the book蔡云龙Table 1 in Appendix B of the Iris data clustering. And the use of a close neighbor of law to be fast algorithm to find sub-samples of X (for X samples four components x1 = x2 = x3 = x4 = 6 subset of the number of l = 3) of the nearest neighbor nodes and 3- neighbor nodes and X and the distance between them.
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Size: 1024 |
Author: jack |
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Description: 基于主成分分析(PCA)的人脸识别系统
利用2D PCA算法求对训练集向量进行降维的降维矩阵，最近邻法测试对测试集识别的精度-pca face recognition
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Size: 195584 |
Author: 费菲 |
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Description: 用C语言对K近邻法进行的模式识别，包括说明及程序。-K with C-neighbor method of pattern recognition, including a description of and procedures.
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Size: 30720 |
Author: android |
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Description: 用k近邻法和剪辑近邻法分类样本点，模式识别实验内容之一-K neighbors with neighbors and editing sample points classification, pattern recognition one experiment
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Size: 5120 |
Author: hokhok |
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Description: 模式识别问题最近邻算法的matlab实现，可以模拟实现最近邻法的核心，是一个不错的代码-
Nearest neighbor algorithm for pattern recognition problem of matlab to achieve, can simulate the nearest neighbor method to achieve the core of the code is a good
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Size: 19456 |
Author: 丑力 |
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