搜索资源列表
HelloSpring
- knn search algorithm
kjinlin
- K最近邻(k-Nearest Neighbour,KNN)分类算法,是一个理论上比较成熟的方法,也是最简单的机器学习算法之一。该方法的思路是:如果一个样本在特征空间中的k个最相似(即特征空间中最邻近)的样本中的大多数属于某一个类别,则该样本也属于这个类别。-K neighbor algorithm
KNN_Classifier
- 用MATLAB实现的分类器,算法为KNN,分类效果较好。文件中提供了相关的测试集。-MATLAB classifier, the algorithm for KNN, classification effect is better File to provide the related test set
main
- 通过KNN和朴素贝叶斯算法 实现 模式识别中的分类-Achieve pattern recognition is classified by KNN and Naive Bayes algorithm
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
FisherFace
- 基于LDA线性辨别分析的人脸识别算法,采用KNN分类器,可直接运行,自带数据库,识别率有88 。-LDA face recognition algorithm based on linear discriminant analysis, using KNN classifier, can be directly run, comes with a , the recognition rate of 88 .
knnmyself
- knn分类算法,可以自动将excel转换为mat,可以自行调整参数,第二列为标签-knn classification algorithm can automatically be converted to excel mat, you can adjust the parameters of their own, as a second label
dingwei
- 指纹定位算法的knn法和wknn法的对比,以及参数对定位的影响-Fingerprint localization algorithm of KNN method and WKNN method of comparison, and the influence of parameters on the positioning
New-Text-Document
- in the name is c# for algorithm knn
rough-set-codes
- 这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码,同学们可以在此基础上学习和修改,入口程序已经写好,需要其他方法可以自己添加,MAIN.m是入口程序,参数的意思在子函数里讲的很明白,调用了featureselect_FW_fast.m用来属性约简,几个clsf_dpd文件是使用不同的距离公式来计算属性重要度,选择得到属性结果,使用crossvalidate.m十折交叉算法来计算计算算法精度,该段代码调用了几个分类器,C4_5.m是决策树,KNN.m是最近邻分类器,NEC.m是类似于KNN的
digit_recognizer_knn
- kaggle竞赛 数字识别 knn算法(不含数据)-kaggle contest knn digital identification algorithm (excluding data)
MATLAB-MBPSO-master
- 一种改进型的PSO的机器学习算法实现,应用欧氏距离作为分类便准,KNN分类法实现分类-An improved PSO algorithm
GA20160705
- 遗传算法,适应度选择的是Knn,所用数据为软木塞数据,准确率为93 以上。-Genetic algorithm, fitness chose Knn, the data used for the cork data, the accuracy rate of more than 93 .
MLKNN
- 针对单标记学习算法KNN进行改进,适用于多标记数据集改造而成的多标记K临近算法。java代码-Improved learning algorithm for single marker KNN, suitable for multi-label data sets adapted multi-label K near the algorithm. java code
CLASSIFICATION-with-newsgroup
- 多文本分类,KNN和朴素贝叶斯算法,英文文本,-Text categorization, KNN and naive bayes algorithm, the English text,
kNNregression
- 机器学习kNN回归算法,是一个挺不错的机器学习算法值得借鉴-KNN regression machine learning algorithm, is a very good machine learning algorithm is worth learning
MachineLearning-master
- 一些常见的机器学习算法的实现代码。包括PCA、kNN、logistic regression、ManifoldLearning、SVM、GMM等-Some common machine learning algorithm implementation code. Including PCA, kNN, logistic regression, ManifoldLearning, SVM, GMM, etc.
Handwriten
- 用java编写的手写体数字识别,采用knn方法,识别的训练和测试对象来自mnist数据库的数据,已经将解压后文件放进去了,算法包括文件的读取,测试部分还有识别算法。 -Written by java handwriting digital recognition, using knn method to identify the training and test objects the mnist data, has been extracted after the file into t
MachineLearning-master
- 机器学习算法,包括knn等,K最近邻(kNN,k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。(machine learning algorithm)