搜索资源列表
knnclassifytoimg
- 对于遥感影像的K近邻分类器，并且将分类结果彩色显示出来，效果不错。-Knn classifier show the result
ConsoleApplication1
- K近邻 KNN分类器，读取水质处理数据，并分好类，一共四类-K neighbor KNN classifier, read the water quality data processing, and a good class, a total of four class
PCA-based-facial-recognition
- 基于PCA特征提取和距离哈希K近邻分布的人脸表情识别-PCA-based feature extraction and distribution of K-nearest neighbor distance hash Facial Expression Recognition
the-k_nearst-alogrithm
- 一种快速搜索散乱点云数据 k 邻近的算法 对逆向工程中散乱点云数据的 k 近邻搜索，提出一种快速搜索散乱点云 k 邻近点的算法。该算法根据 点云数据的范围、点的总数及最近点数目 k，确定合适的立方体边长，采用空间划分策略，把数据划分成多个子立方体； 然后用哈希表记录每个子立方体所包含的数据点及每个点所在的立方体索引号，并排除不包含数据的子立方体，以此 确定邻近点的最佳搜索范围。实验结果表明：该算法有效的提高 k 近邻搜索的速度，同时保证了搜索结果的正确性。 -a fast m
NormalEsimation2
- 求点云的法向量和k近邻的求取，可以根据一些需要自己改写，自己建立工程后可以使用-about the normalesimation ,after the debug can be excute in vs
k_nearst
- k最近邻分类算法，将点云分为k近邻的算法，完整的源码程序-the program is about the k_nearst classify
knndemo
- K近邻分类器，实现了对iris数据集的分类，并且使用了交叉验证的方法，来验证求得的最优的K值。-K-nearest neighbor classifier to achieve the classification of iris data set and cross-validation of the method used to verify the optimal value of K obtained.
2DPCAPKNN
- 实现2DPCA和Knn（k近邻）的人脸识别，包含人脸库-face recogntion in 2DPCA and KNN
hw4
- k近邻分类，内部有文档详细说明，具体例子是通过k近邻对常用数据集mnist.mat（头像数据）进行分类-k nearest
alternative-2DPCAPknn
- 基于二阶双向二维主成成分分析用k近邻分类，alternative-2dpca,2d2dpca注解详细，在本站左加阔的程序上编写的-alternative-2dpca 2d2dpca+knn
static_K_kendell_mean_var
- MATLAB代码，利用K近邻法并使用相应的特征选择对数据进行分类-MATLAB code, the use of K-nearest neighbor method and use the appropriate feature selection data classification
static_K_ga01
- MATLAB代码，采用封装法利用K近邻和遗传算法的结合对数据进行分类-MATLAB code using encapsulation method using a K-nearest neighbor and genetic algorithm combined with data classification
k-nearest-neighbor-estimation
- 模式识别实验 k最近邻估计MATLAB程序-Pattern recognition experiments k nearest neighbor estimation MATLAB program
knn-classify
- 注释清楚，容易帮您理解k近邻分类的原理。采用c++语言编写-NOTE clear, easy to help you understand the principles of k nearest neighbors. Use c++ language
CAL500_KNN
- 使用粒子群算法优化k近邻算法，达到多标签分类的代码，使用CAL500的数据集-the multi-label classification based on evolutionary computing using KNN
probability-estimation
- 给定若干三维数据，建立训练概率模型，并对新数据进行估计。包括高斯模型、Parzen窗和K近邻密度估计-Given a number of three-dimensional data, the establishment of training probability model, and the new data is estimated. Including the Gaussian model, Parzen windows and K nearest neighbor density e
ISOMAP-Algorithm
- ISOMAP算法，其中做了部分修改。算法采用K近邻图计算测地距离的方法，最后进行低维嵌入-ISOMAP algorithm, which made some modification.Algorithm of geodesic distance is obtained by using the K neighbor graph method, finally to low dimensional embedding
paper3
- 支持偏好调控的路网隐私保护k近邻查询方法-Preference network support privacy regulation k nearest neighbor query methods
knn
- k近邻法的线性扫描算法的python详细代码，并附有详细注释-k nearest neighbor linear scanning algorithm python code in detail, along with detailed notes
FACE
- 人脸识别的k近邻分类器,matlab代码- Recognition of k-nearest neighbor classifier，matlab