搜索资源列表
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
- knn k近邻算法，可选择欧式距离或者曼哈顿距离-knn k nearest neighbor, Euclidean distance or Manhattan can choose the distance
Kjinlin
- K近邻c语言程序的简单应用 简单应用 -K-nearest neighbor c language program a simple application of a simple application of a simple application of a simple application
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
KNN
- 机器学习K近邻分类算法，使用的是C++编程。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-nearest neighbor classification machine learning algorithm, using the C++ programming. If a sample in feature space is k most similar (i.e., the feature space adjacent
6
- 最近邻法和K近邻法。作为分类器算法，k近邻法和最近邻法应用广泛-Nearest neighbor and K-nearest neighbor method. As a classifier algorithm, widely k nearest neighbor method nearest neighbor method and application
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
TreeGenerate
- 利用opencv对特征向量或者原子生成四叉树，并存储。树的分叉采用K近邻算法-Using opencv generated and stored quadtree
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
Nearest-neighbor-classifier
- 本程序实现了最近邻分类器的K近邻算法。实现方式是使用matlab-This program implements a nearest neighbor classifier K-nearest neighbor algorithm. Implementation using matlab
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传
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
Ch02
- K近邻算法matlab实现，实例：K近邻算法改进网站的配对效果。-Classifying with k-Nearest Neighbors
knnsearch
- 非常好的K近邻算法，算法进行了优化，速度也较快-very good！
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