搜索资源列表
question5
- 通过fisher进行降维，然后通过最近邻进行分类。fisher通过两种不同方式进行降维。-using fisher to decrease the dimension of feature. then use k nearest to classifycation.
KL_SVD_face_recognition
- PCA主成分分析，采用KL投影和SVD分解提取人脸特征向量，最后采用最近邻判别法计算识别率。-Face recognition based on PCA. KL projection and SVD are used to extract face eigenvectors. Recognition rate is calculated by k nearest neighbors(KNN) method.
NN1akNN
- 实现机器学习中的最近邻算法——1-NN和k--Realization of machine learning algorithms 1-NN nearest neighbor and k-NN
123
- 该程序实现K-均值聚类算法达到K-均值聚类的功能，与凝聚算法 最近邻聚类算法达到最邻聚类的功能。 -The program implements K- K- means clustering algorithm to achieve functional means clustering, and cohesion algorithm- nearest neighbor clustering algorithm to achieve the most-neighbor clustering.
Parzen_k
- 主要内容包括两种非参数估计方法：Parzen窗估计和k最近邻估计。-The main contents include two non parametric estimation methods: Parzen window estimation and K nearest neighbor estimation.
KraskovMI
- 计算Kraskov估计的互信息值。首先计算各样本的最近邻，然后给出两种互信息值。-computes the Kraskov estimator for the mutual information.k: nearest neighbour. Output: I1, I2: the two estimator of MI.
kUntitled1
- k-最近邻算法分类器，程序清晰易读，有注解，方便最算法的进一步掌握-K- nearest neighbor classifier algorithm, procedures Notes clear and easy to read, easy to grasp the algorithm.
KNN
- 自己实现机器学习十大算法中的k最近邻算法，经过测试，算法运行很好-Own machine learning algorithm to achieve the k nearest neighbor algorithm, tested, the algorithm runs very well
KNN-python
- 邻近算法，或者说K最近邻分类算法是数据挖掘分类技术中最简单的方法之一，给出一个实例，可直接运行- U90BB u8B1 u7B97 u7B97 u7C97 u6c2 U6700 u7B80 u5355 u7684 u65B9 u6CD5 u4E4B u4E00 uFF0C u7ED9 u51FA u4E00 u4E2A u5B9E u4F8B uFF0C u53EF u76F4 u63A5 u8FD0 u884C
knn
- 邻近算法，或者说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。所谓K最近邻，就是k个最近的邻居的意思，说的是每个样本都可以用它最接近的k个邻居来代表。(Neighborhood algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in data mining class
KNN
- 最近邻学习算法，Python实现，最近邻规则分类(steps: In order to determine the unknown instance categories, with examples of all known categories as reference Parameter selection of K The calculation examples and all known examples of the unknown distance Choose the
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)
knn
- k最近邻算法:分类和回归。通过对训练集分类训练模型，验证集用于验证数据的准确性。(K nearest neighbor algorithm: classification and regression. Through the training set classification training model, the verification set is used to verify the accuracy of the data.)
kNN
- knn分类器, 机器学习实战第二章代码，k最近邻分类，适用于低维数据的分类器(classifier (KNN algorithm))
KDTREE
- kd树（k-dimensional树的简称），是一种分割k维数据空间的数据结构。主要应用于多维空间关键数据的搜索（如：范围搜索和最近邻搜索）。