搜索资源列表
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
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
KNNpython
- python实现的k-近邻算法，用于数据分类。机器学习实战-k- nearest neighbor python implemented for data classification. Machine learning combat
LMNN
- 大间隔最近邻居（Large margin nearest neighbor (LMNN)）分类算法是统计学的一种机器学习算法。该算法是在k近邻分类其中学习一种欧式距离度量函数。-Spaced nearest neighbor (Large margin nearest neighbor (LMNN)) classification algorithm is a statistical machine learning algorithms. The algorithm is learning a
kNN
- KNN，k近邻算法，内附测试数据集，机器学习实战源码-KNN, k nearest neighbor algorithm, enclosing the test data set, machine learning practical source
Z
- 基于k近邻估计法的非参数概率密度估计论文及源代码的如何实现-K-nearest neighbor nonparametric probability density estimation method based on the estimated
KraskovMI
- k近邻互信息估计源代码,简单易用，可用于估计多维互信息 -kNN mutual information estimator by Kraskov
knn
- K近邻分类算法实现 in Python -KNN Classfier in Python
Eigenface
- 人脸识别Eigenface算法的完整实现，主要基于PCA(主成成分分析)和kNN(k近邻)分类器实现，测试模板库基于ORL和yale，可以达到98 的识别率。-Eigenface complete recognition algorithm, mainly based on PCA (Principal Component Analysis into) and kNN (k nearest neighbor) classifier implementation, test template li
K-Nearest-Neighbor
- 数据挖掘中经典的KNN（K-最近邻）算法，导入即可运行-Data Mining the classical KNN (K- nearest neighbor) algorithm, you can import operation
mLknnMATLAB
- 本代码主要用了多标签K近邻方法（MLKNN）实现对多标签数据进行分类-This code mainly spent more than a label K-nearest neighbor method (MLKNN) to achieve the multi-label data classification
knnfiltertest
- 用于图像处理的K近邻滤波器 可用于去除高斯滤噪声和椒盐噪声 并进行对比-K nearest neighbor filter to remove image noise