搜索资源列表
cvEucdist
- 欧几里得距离是一种数学计算矩阵距离的算法，可用于图像分类时查找最近邻的距离。-Euclidean distance is a mathematical algorithm to calculate the distance matrix can be used for image classification when looking for the nearest neighbor distance.
matlab
- 图像插值算法有三种：最近邻插值、双线性插值和双三次插值，这里有前两种插值算法的matlab程序-Image interpolation algorithm has three: nearest neighbor interpolation, bilinear interpolation and bicubic interpolation, here are the first two interpolation algorithm matlab program
NNSF
- 利用最近邻域标准滤波器（NNSF）和概率数据互联滤波器（PDAF）进行航迹绘制并进行相互比较。-Use nearest neighbor standard filter (NNSF) and probabilistic data association filter (PDAF) be drawn and compared with each other track.
javaKNN
- java KNN 算法源码: 邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法可以说是整个数据挖掘分类技术中最简单的方法了。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她最接近的k个邻居来代表。 kNN算法的核心思想是如果一个样本在特征空间中的k个最相似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，并具有这个类别上样本的特性。该方法在确定分类决策上只依据最邻近的一个或者几个样本的类别来决定待分样本所属的类别。 kNN方法在类别决策
complex_network
- 用matlab所写的复杂网络所用的经典算法，如BA无标度网络，ER随机网络，WS小世界网络和NS小世界网络，以及最近邻耦合网络等matlab算法，可以修改参数，可以绘制复杂网络图形。在matlab中直接可运行。-Classical algorithm matlab written with complex network used, such as BA scale-free networks, ER random network, WS small-world networks and NS
LSH
- 用LSH算法实现近似最近邻检索，并提高了效率-With LSH algorithm approximate nearest neighbor search, and improves efficiency
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
LSH代码
- 建立哈希函数表，并将查询点映射到这些所建立的表中，回收映射到表中的对应点，由KNN算法糟糕到K个最近邻点
Generalised-nearest-feature-line
- 广义的最近邻特征线的子空间学习方法在人脸识别中的应用。-Generalised nearest feature line for subspace learning
Nearest-Feature-Space
- 最近邻特征空间分析和鉴别最近邻特征空间分析，用于人脸和表情识别。-Nearest Feature Space Analysis for Classification
Nearest-Feature-Line-Analysis
- 基于不相关家别最近邻特征线分析的人脸识别研究。-Uncorrelated Discriminant Nearest Feature Line Analysis for Face Recognition
find_nn
- 这是一个利用K-means计算数据K最近邻点的MATLAB程序，简单方便。-This is a K-means computing program MATLAB data K nearest neighbor, simple and convenient.
PDANN
- 杂波环境下单目标跟踪算法，包括概率数据关联和最近邻算法。-Single target tracking methods in clutter environment, including PDA and NN
pca4
- pca人脸识别 基于kl变换 最近邻分类 识别率达到88.5 - pca face recognition facial identification
Geomtransform
- 分别使用最近邻方法和双线性差值方法实现图像的平移、旋转、缩放-Develop a geometric transform program that will rotate, translate, and scale an image by specified amounts, using the nearest neighbor and bilinear interpolation methods, respectively
regress2beltak
- matlab实现使用统计学习基础中的最小二乘法和k-最近邻法进行分类。-matlab achieve statistical learning-based classification using the least squares method and k-nearest neighbor method.
NNBR
- 首先通过自相关 偏自相关分析获得特征向量的维数，随后继续运行后面的代码以获得预测值,该方法为最近邻抽样回归预测-The dimension of feature vectors will be obtained by the autocorrelation and partial autocorrelation analysis, then continue to run the code behind to get predicted value，its short name is NNBR
nearest
- 最近邻法 matlab编写-Nearest neighbor method of matlab source code
knnsearch
- 经典的knn最近邻算法 利用matlab的内部JIT加速算法，简单好用，高速时效。-Classic knn nearest neighbor algorithm using matlab internal JIT accelerated algorithm, easy to use, high-speed aging.
KNN
- 实现了KNN文本的分类，KNN最近邻基于欧几里德距离的JAVA算法实现适用于初级学习KNN的初学者。-Realization of KNN text classification, KNN nearest neighbor JAVA algorithm for Euclidean distance implementation is applied to the primary learning KNN beginners based on.