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patternrecognitioncodes
- 此文件包含模式识别中一些经典的matlab代码，如：SVM、神经网络、最近邻等。-This file contains some of the classic pattern recognition matlab code, such as: SVM, neural networks, nearest neighbor and so on.
kNNregression
- k近邻算法，实现机器学习中的回归功能，参数k需要自己选择-k nearest neighbor algorithm to achieve regression in the machine learning field
Ex1
- 模式识别某次课程的作业，完成了高斯分布下的两种贝叶斯分类器,以及非参数的K近邻、Parzen窗方法，采用UCI机器学习数据库中的某些数据作为样本，使用交叉验证方法确定参数-Pattern recognition of a particular course work, completed under the two Gaussian Bayesian classifier, and the non-parametric K-nearest neighbor, Parzen window meth
knn
- K邻域模式识别方法 KNN算法不仅可以用于分类，还可以用于回归。通过找出一个样本的k个最近邻居，将这些邻居的属性的平均值赋给该样本，就可以得到该样本的属性。更有用的方法是将不同距离的邻居对该样本产生的影响给予不同的权值(weight)，如权值与距离成正比。-k-Nearest Neighbor algorithm
ll
- K最近邻(k-Nearest Neighbor，KNN)分类算法-K nearest neighbor (k-Nearest Neighbor, KNN) classification algorithm
knn
- KNN 是K最邻近结点算法（k-Nearest Neighbor algorithm）的缩写形式，是电子信息分类器算法的一种。KNN方法对包容型数据的特征变量筛选尤其有效。-a machine learning algorithm
cv_pdaf
- CV模型，利用概率数据关联算法和最近邻算法对其进行跟踪滤波，保证正确-CV model, the probabilistic data association algorithm and the nearest neighbor filter algorithm to track and ensure the correct
Assignment4
- Dilation 和Erosion的c++实现，pattern recognition中，nearest neighbor 方法。还有一些习题与解答-Dilation and Erosion algorithm. Nearest neighbor algorithm in pattern recognition.
DilationandErosion
- 用Visual C++编写的膨胀和腐蚀算法，也有模式识别中Nearest neighbor 的算法。希望对大家有用。-Dilation and Erosion algorithm and Nearest neighbor algorithm in pattern recognition.Developed in visual C++
nearestneighbour
- searching nearest neighbor in a network
knn
- k近邻分类算法，VC++实现的，验证了正确性-k nearest neighbor classification algorithm, VC++ implementation to verify the correctness
knn
- 这个程序是用来寻找每个图像的K近邻的，然后得到了一个权值矩阵-This program is used to find K-nearest neighbor of each image, and then get a weight matrix
k-means
- K近邻算法，对一段数据进行分类，word 说明文档-K nearest neighbor algorithm
classbaseattributetimeclassification
- In this paper, we present two novel class-based weighting methods for the Euclidean nearest neighbor algorithm and compare them with global weighting methods considering empirical results on a widely accepted time series classification benchm
111
- 基于MATLAB的近邻法剪辑算法的实验，源代码，及数据分析-Based on the MATLAB nearest-neighbor method clip algorithm experiment, the source code, and data analysis
jinlin
- 基于近邻法的相关MATLAB实验方法，课件。，-Based on the MATLAB nearest-neighbor method clip algorithm experiment, the source code, and data analysis
RFID
- 在分析射频识别"Wc+/#基本原理和特点基础上!重点讨论了基于Wc+/ 的Y.WF/b.W-室内定位系统!然后在此基础上提出了一种最近邻居改进算法和基于误差多级处理的数据融合定位方法$仿真结果表明!改进后的最近邻居算法比已有的最近邻居算法的定位精度更好-In the analysis of radio frequency identification "Wc+ /# based on the basic principles and features! focused on Wc+ / s Y.
knn
- code of implementing the K-Nearest Neighbor method
knn
- knn classifier that indecatw classes of test data according k nearest neighbor algoritm in pattern recognition
BruteSearch120909
- k-nearest neighbor algorithm