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ClassifyHomework
- 模式识别,用平均样本法、平均距离法、最近邻法、K近邻法进行分类。-Pattern recognition, with an average of the sample method, the average distance method, nearest neighbor, K-NN classification.
DCT
- 本文设计基于DCT的人脸识别系统，首先结合当今人脸识别的背景和发展状况讨论了人脸识别的研究内容及在各方面的应用；然后研究了人脸识别进行预处理，讨论了人脸识别预处理的其他方法，分析各种方法的利弊，最后采用DCT（离散余弦变换）实现人脸图像预处理中的降维处理；接下来对人脸图像的特征提取进行了研究，简单叙述了几何特征提取和代数特征提取，同时深入研究了基于DCT和PCA变换的人脸图像特征提取，从而实现是否对人脸识别系统识别率有所提高的研究；对于分类器的选择，本文对两种分类器进行了探讨，即最近邻分类器和B
K-PNN
- K-PNN Algorithm a type of k nearest neighbor algorithm
fknn
- fuzzy k-nearest-neighbor algotithm-fuzzy k-nearest-neighbor algotithm
SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
knn_demo
- k近邻算法(knn, k nearest neighbor)-k nearest neighbor (knn, k nearest neighbor)
nearestinterpolation
- 2006编写的最近邻域内插源代码，可以实现图像的最近邻域内插-2006 prepared by the nearest neighbor interpolation within the source code can be achieved within the image of the nearest neighbor interpolation
knnsearch
- 寻找测试样本的最近邻，可以有效的用于用于模式识别，信号处理-This is a small but efficient tool to perform K-nearest neighbor search, which has wide Science and Engineering applications, such as pattern recognition, data mining and signal processing. The code was initially
rotate
- 实现图像空间旋转，灰度插值操作，插值方法分别是最近邻法和二次线性法。-Achieve the image space rotation, gray-level interpolation operation, interpolation methods are nearest neighbor method and the second linear method.
93317479KNN
- matlab 最近邻算法及文献，随时欢迎下载-matlab nearest-neighbor algorithm and literature, feel free to download
knearest
- MATLAB 小程序，可以实现模式识别中的K近邻算法，已经运行成功，附运行程序结果-MATLAB small programs can be achieved in the K-nearest neighbor pattern recognition, has been running successfully run the program attached to the results of
20064817924orl_faces_112x92
- ORL人脸图像库，共40人，每人10幅图像，其中每人的前5幅作为训练样本，后5幅作为测试分类样本，统计正确分类率。分类准则为最近邻规则。 真实的图像尺寸为112x92，列向量堆积对应人脸库矩阵的每一列。 -ORL face image database, a total of 40 per 10 images, each of which the first five as training samples, after the 5 categories as a test sampl
classification
- 灰度共生矩阵提取特征值，最近邻算法，进行纹理图像分类。creat_apprentissage用来训练样本，cooccurence是灰度共生矩阵提取特征值，knn是进行k最近邻算法，classif是纹理图像分类-coocurence matrix，using K nearest neighbor to classify textures images.
ann_1.1.2
- code for approximate nearest neighbor search
cover_tree.tar
- A Cover Tree is a datastructure helpful in calculating the nearest neighbor of points given only a metric.
hang_ji_shi_bie
- 航迹识别，用到改进的近邻搜索算放，双线性插值，BP预测等方法-Track identification, use the search operator to improve the neighbor put, bilinear interpolation, BP prediction method
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
kpca
- 运用KPCA方法在ORL人脸库上进行人脸识别，分类器为最近邻分类器。-KPCA method using ORL face database for face recognition, classification for the nearest neighbor classifier.
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
knn
- code of implementing the K-Nearest Neighbor method