搜索资源列表
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
DM_BayesAndKNN
- C++实现数据挖掘的贝叶斯分类方法和k-近邻分类方法，有源码，有示例数据，有说明文档-C++ implementation of data mining methods and Bayesian classification k- nearest neighbor classification method, there is source code, sample data, documentation
KNN
- K近邻算法的python代码，针对婚恋网站调查数据-the python code especially for k-nearest algorithm on the condition of wedding data
jinlin
- 最近邻法，K-近邻法，剪辑近邻法和压缩近邻法。模式识别-Nearest neighbor, K- nearest neighbor, editing and compression nearest neighbor nearest neighbor method. Pattern Recognition
KNN-implement-by-python
- 该程序是用python编写一个K近邻算法，通过该例子可以掌握K近邻算法，是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
KNN1
- 对k近邻方法进行改进，knn方法中自动获取k值-Automatic selection of K value in KNN algorithm
KdTree
- kdtree的建立，实现k近邻搜索，已经按半径搜索-Kdtree establishment, and k nearest neighbor search and radius of the index
kNN
- k近邻算法，可以简单准确的对数据，按照给定点与设定点的欧氏距离大小，进行分类-K nearest neighbor algorithm, can be simple and accurate data, in accordance with the set point to the point and the Euclidean distance of the set point size, classification
findKN
- 在数据挖掘、人工智能等领域中，都常用到KD树来进行K近邻查找。本程序是自己用C++实现的一个KD树来进行的K近邻查找程序，包含建树和查找。文件中附有测试文件。-In data mining, artificial intelligence and other areas, it is commonly used to KD tree to find K nearest neighbor. This procedure is K neighbor Finder C++ they used to a
KNN
- 《机器学习实战》K近邻算法的代码实现以及数据，真实可靠，欢迎使用-" Machine learning real" K nearest neighbor algorithm code and data, real reliable, welcome
kNN
- 使用k-近邻算法改进约会网站的配对算法和使用k-近邻算法的手写数字识别系统-Use k- nearest neighbor matching algorithm to improve the dating sites and use of k- nearest neighbor handwritten numeral recognition system