搜索资源列表
bayes_k_nn
- 求Weighted/Non-weighted贝叶斯k近邻模型的matlab程序,内含具体说明。-seeking Weighted / Non-weighted k neighbors Bayesian model matla b procedures, containing details.
knn_map
- 用得最多的是最近邻,此处上传的是K-近邻,即k=1。matlab环境下的代码。附有实例。-used most often is the nearest neighbor, here is uploaded K-neighbor, k = 1. Matlab environment code. With examples.
knn_demo
- K近邻法的matlab程序,发现大家都在找它!-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
PRAssign
- 脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 Testscr iptRecognition.m:测试代码 scr iptFeaExtract.m :特征提取 KNearestEstimate.m :K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m :训练bayes分类器 Bayes.m :测试bayes分类器 CrossValidate.m :m交叉验证 -Offlin
knn
- 8个采样点的k近邻算法,结果用语言表示 两个类别
knearest
- k近邻算法的c++实现,在vs2003上编译通过
PatternRecognition
- 1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法
Parzen_KNN
- Parzen 窗 和 K近邻法进行概率密度估计 还带一个示波器控件.-Parzen window and K-nearest neighbor method probability density is estimated to bring an oscilloscope control.
FuzzyNNClassifier.rar
- 模糊K近邻分类器,模式识别和机器学习经常要使用的一个分类器,K neighbor fuzzy classifier, pattern recognition and machine learning are often used in a classifier
knn_myself
- 一个自己编写的K近邻算法,是学习算法编写过程中最简单的一个哦,学习算法想自己学编程的可以看-A imagecut.rar K neighbor algorithm, is in the process of learning algorithm to write the most simple a oh, learning algorithm to learn programming can see
Digit-recognizer---knn-a-svm
- matlab中分别使用knn(k近邻)与svm(支持向量机)实现的对手写数字识别的二分类器-Digit recognizer(KNN and SVM) developed in matlab
classification
- 该程序包实现了几个常用的模式识别分类器算法,包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例,压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
kNN_predict
- 采用K近邻算法预测时间序列的源代码,希望对大家能有所帮助。-Predict time series using kNN.
KNN11
- matlab有关K近邻分类算法,很不错,-matlab knn
Games
- Bayes分类器——算法设计 1. 使用决策树(Decision tree)分类算法、朴素贝叶斯(Naï ve Bayes)算法或者K-近邻(kNN)算法(三者任选其一)对给定的训练数据集构造分类器,并在测试数据集上进行分类预测。 2. 数据集描述: Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
knnsearch
- 一个小而有效的程序来执行的K -近邻搜索算法,此算法利用JIT 理论加速循环,比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳-A small and effective procedures to implement the K- nearest neighbor search algorithm, this algorithm uses JIT acceleration cycle theory, than to solve a lot of data to quantif
knn
- C语言K近邻分类器KNN,有5个简单的例子供学习-knn classifier in C,5 simple examples are included
knn
- knn (k-nearest neighbor)用c++实现的近邻算法-knn (k-nearest neighbor) algorithm
最近邻分类代码
- 在linux 下C语言实现最近邻聚类算法,工程已经使用(near K neighbor cluster)
kNN
- K最近邻(k-Nearest Neighbor,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:在特征空间中,如果一个样本附近的k个最近(即特征空间中最邻近)样本的大多数属于某一个类别,则该样本也属于这个类别。(K-nearest neighbor (KNN) classification algorithm is a relatively mature method in theory and one of the simplest machine