搜索资源列表
LCS-VC60
- C语言DTW算法实现,主要功能: 1)快速近邻DTW比较 2)算法稳定 3)节省内存-== Key features == 1) Fast Dynamic Time Warping nearest neighbor cost retrieval. 2) Persistence 3) External-memory: you need only a constant amount of RAM
knn
- K-nearest neighbor classifier (k-NN) is a nonparametric approach for classification. It does not require the priori knowledge such as priori probabilities and the conditional probabilities. It operates directly towards the samples and is categorized
WordTest
- 本文阐述了一个基于K-Nearest Neighbor(KNN)算法的中文网页自动分类系统的体系结构、具体设计和实现过程。系统分成三个模块：中文网页的下载与过滤（王勋完成）；KNN算法的训练与分类（黄健完成）；算法评估以及分词系统的整合（吴亮完成）。 本人主要是实现算法的评估以及分词系统的整合：分词系统的整合利用爱博汉语分词系统(服务器版本—共享版)，将下载下来的中文网页过滤后所得到的txt文件内容进行分词，以便提供给KNN算法进行训练和分类；算法的评估是将KNN算法后所得到的结果进行分析，
Recognition
- Pattern recognition using the method of nearest neighbor. Building etalons.
lbimproved_2009-12-29
- C语言DTW算法实现,主要功能: 1)快速近邻DTW比较 2)算法稳定 3)节省内存-== Key features == 1) Fast Dynamic Time Warping nearest neighbor cost retrieval. 2) Persistence 3) External-memory: you need only a constant amount of RAM
Approximation4TSP
- 三种解决TSP问题的近似算法的实现：最短链路法、最近插入法和最近邻居法-Approximation algorithm for the realization of three to solve the TSP: the shortest link, nearest insertion method and nearest neighbor
DM_YeDan
- KNN(K最近邻)分类算法以及K-means(K均值)聚类算法是应用广泛的两种算法。本代码是在VS2010环境下，用 C++语言在基于KNN及K-means算法下，实现了对Iris数据集的分类与聚类。-KNN (K nearest neighbor) classification algorithm, as well as K-means (K mean) clustering algorithm is widely used two algorithms. The code VS2010 en
Zoom-in-and-outbyVCPP
- 最邻近插值和双线性插值对所给图像进行缩小和放大操作。限制于位图操作。-The nearest neighbor interpolation and bilinear interpolation to the image, zoom in and out of operation. Limited bitmap operations, can not be used for other types of files. Remember! Do not like do not spray....
littleworld
- NW小世界网络的构成原则为：从一个环状的规则网络开始，网络含有N个结点，每个结点向与它最近邻的K个结点连出K条边，并满足N>>K>>In(N)>>1。随后进行随机化加边，以概率p在随机选取的一对节点之间加上一条边。其中，任意两个不同的节点之间至多只能有一条边，并且每一个节点都不能有边与自身相连。改变p值可以实现从最近邻耦合网络(p=0)向全局耦合网络(p=1)转变。在p足够小和N足够大时，NW小世界模型本质上等同于WS小世界模型。 -NW constitu
1
- 利用K-L变换进行人脸识别。首先求得待辨识图像相对于训练集平均脸的差值图像，然后求得该图像在特征脸空间中的坐标，最后采用最近邻法对图像进行归类。-KL transform for face recognition. Obtain the first image to be identified image with respect to the difference between the average face of the training set, and then obtain the
fnn
- false nearest neighbor calculation on a signal as a chaotic indicator
Kode-Program-Algoritma-Nearest-Neighbor
- Kode Program Algoritma Nearest Neighbor
5knearesttree
- k nearest neighbor algorithm in matlab
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.
CalibRectNewIndices
- For fast image processing this scr ipt extracts all the parameters for stereo image rectification in order to get the largest rectangular image pairs with only valid pixel values. The parameters are sorted in the way images are read in (First pixels
KNNC
- 提出基于优化K-最近邻域分类器(K-Nearest Neighbor Classifier,KNNC)的轴承故障模式识别方-proposed K-Nearest Neighbor Classifier（KNNC）， diagnosing method
fknn
- FKNN Fuzzy k-nearest neighbor classification algorithm.
KNNpython
- python实现的k-近邻算法，用于数据分类。机器学习实战-k- nearest neighbor python implemented for data classification. Machine learning combat
moban
- matlab基于DTW的非特定人语音识别，单模版匹配与最近邻- matlab independent speech recognition, DTW-based single-mode version matching and nearest neighbor
weighted-interpolation
- 加权插值算法，包括加权最近邻插值，加权双线性插值，加权双三次插值，直接运行demo.m就可以。-Weighted interpolation algorithm, including weighted nearest neighbor interpolation, bilinear interpolation, weighted weighted double three interpolation, directly run the demo. M.