搜索资源列表
fcm
- fcm 聚类两个k近邻算法，k近邻的非正式描述，就是给定一个样本集exset，样本数为M，每个样本点是N维向量，对于给定目标点d，d也为N维向量，要从exset中找出与d距离最近的k个点(k<=N)，当k=1时，knn问题就变成了最近邻问-fcm cluster
wine_class
- 借助于k-近邻算法，实现对酒品质的鉴定。并在算法中采用k值的调整以求结果更优。-By means of a k-nearest neighbor algorithm, identification of the quality of the wine. And k values used in the algorithm to adjust in order to better results.
knnsearch
- 一个小而有效的程序来执行的K近邻搜索算法， 非常适合对K -近邻搜索算法的入学者。-A small but effective procedures to implement the K-nearest neighbor search algorithm is very suitable for K- nearest neighbor search algorithm admission
LDA
- LDA:线性判别分析方法。用于实现线性数据降维。采用K近邻分类器对数据进行分类-LDA: linear discriminant analysis method. Used to achieve linear data dimensionality reduction. Using K-nearest neighbor classifier for data classification
recognition
- 一种加权K近邻语音情感识别程序，包括部分柏林语音情感库-A Weighting K-nearest neighbor speech emotion recognition program, including some libraries Berlin Speech Emotion
knn
- k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function
lle
- LLE算法及改进的LLE算法，主要是对寻找K近邻时的欧式距离的改进-LLE algorithem and the improve_LLE agorithem，the process mainly improve the distance
HIT--MoShiShiBie--ShiYan3
- 这是哈尔滨工业大学，电子与信息工程学院，模式识别课程，上机实验3，主要内容是使用matlab产生二维实验和测试样本，并采用最近邻和K近邻分类的方法对测试样本进行分类。完全自主敲写的代码，并运行通过-This is the Harbin Institute of Technology, School of electronic and information engineering, pattern recognition course, Experiment 3, the main conten
KNN
- k近邻算法的matlab程序实现，注释详尽，通俗易懂，适合初学者-matlab s program of k-nearest algorithm
knn
- K近邻（KNN）：分类算法KNN是non-parametric分类器（不做分布形式的假设，直接从数据估计概率密度），是memory-based learning KNN不适用于高维数据（curse of dimension）-K-Nearest Neighbor (KNN): Classification Algorithm. KNN is a non-parametric classifiers (not to assume that the distribution of forms, fr
8888458knn
- K近邻算法（KNN）的matlab源代码，程序清晰易读-K nearest neighbor (KNN) of matlab source code, procedures legible
FN-KNN
- 基于k近邻规则的PCA方法，改进的主元分析法用于故障诊断-PCA based on KNN
find_nn
- k近邻选取，在降维的时候需要构造邻接矩阵，需要选取近邻的个数-k neighborhood selection
ncm.v1.1
- k近邻算法源代码，用matlab语言编写的，适用于分类及相关问题的分析-K neighbor algorithm source code, written with matlab language, suitable for classification and analysis of the related problem
KNN
- 关于K近邻的一些列子和程序，可以更深入的了解近邻法-Some neighbors on K Liezi and procedures can be more in-depth understanding of neighbor law
knndemo
- K近邻分类器，实现了对iris数据集的分类，并且使用了交叉验证的方法，来验证求得的最优的K值。-K-nearest neighbor classifier to achieve the classification of iris data set and cross-validation of the method used to verify the optimal value of K obtained.
hw4
- k近邻分类，内部有文档详细说明，具体例子是通过k近邻对常用数据集mnist.mat（头像数据）进行分类-k nearest
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
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