搜索资源列表
Myknn
- knn，即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-Knn, or k-nearest neighbor algrithom, is a simple and classical classifier algrithom.
近邻算法求解TSP问题
- 本程序用另外一种算法即近邻算法解决ＴＳＰ，即旅行商问题，请高手指教．-this procedure with the other algorithms that solve the TSP neighbor algorithm, the traveling salesman problem, experts advise.
rstree
- 基于内容的多媒体数据库检索算法： 用于最近邻搜索的R*-tree算法-content-based multimedia database search algorithm : Nearest Neighbor Search for the R*- tree algorithm
ann_1.1
- ANN is a library written in the C++ programming language to support both exact and approximate nearest neighbor searching in spaces of various dimensions.ANN is also a testbed containing programs and procedures for
classifier_knn
- 最近邻分类器（KNN）的C＋＋源码，适合模式识别、图像处理开发者用！-nearest neighbor classifier (KNN) of the C++ source code, suitable for pattern recognition, image processing developers use!
EmbeddingDimension_FNN
- 假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序 文件夹说明： Main_FNN.m - 程序主函数，直接运行此文件即可 LorenzData.dll - 产生Lorenz时间序列 PhaSpaRecon.m - 相空间重构 fnn_luzhenbo.dll - 假近邻计算主函数 SearchNN.dll - 近邻点搜索 buffer_SearchNN_1.
KNNalgorithm
- K-Nearest neighbour algorithm-K- Nearest neighbor algorithm
TestJavaSKNN
- 一个基于网格和最近邻居的聚类算法 Similarity(x, y) = size ( SKNN(x) SKNN(y) )，while Link(x, y)=1-a Grid-based, and the nearest neighbor clustering algorithm similarity (x, y) = size (SKNN (x) SKNN (y)), while Link (x, y) = 1
KNN(C++)
- knn，即k最近邻算法是模式识别中的一种比较简单而经典的分类算法-knn, k-nearest neighbor pattern recognition algorithm is a relatively simple and classic classification algorithm
Determining_embedding_dimension_for_phase-space_re
- 假近邻方法(False Nearest Neighbor,FNN)求混沌时间序列重构嵌入维-false neighbor approach (False Nearest Neighbor, FNN) for chaotic time series embedding dimension Reconstruction
NearestRecognation
- 程序实现了.net环境下，C++语言的手写数字识别，程序对手写数据进行了去边框处理，采用最近邻法进行了分类-achieved with the program. Net environment, the C language handwritten numeral recognition, procedures for handwritten data to the fr a me, using nearest neighbor met
knn_map
- 用得最多的是最近邻，此处上传的是K-近邻，即k＝1。matlab环境下的代码。附有实例。-used most often is the nearest neighbor, here is uploaded K-neighbor, k = 1. Matlab environment code. With examples.
Classify_Homework
- 模式识别作业——用平均样本法，平均距离法，最近邻法和K近邻法进行分类-pattern recognition operations-- with the average sample, the average distance, nearest neighbor and K-nearest-neighbor classification
knn_demo
- K近邻法的matlab程序，发现大家都在找它！-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
NearestNeighbor
- 模式识别问题最近邻算法的matlab实现，简单易懂-nearest neighbor pattern recognition algorithm to achieve the Matlab and easily understood
PRAssign
- 脱机手写体识别Matlab源程序 包括特征提取、bayes分类器、K近邻分类及最近邻分类。 Testscr iptRecognition.m：测试代码 scr iptFeaExtract.m ：特征提取 KNearestEstimate.m ：K近邻估计 NearestEstimate.m : 最近邻估计 BayesTrain.m ：训练bayes分类器 Bayes.m ：测试bayes分类器 Cr
NN3
- 主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.-Mainly KNN (the k-nearest neighbor algorithm), LVQ1 (learning vector q
MLkNN
- 数据挖掘领域中的一种算法－ML-KNN是一种改进的最近邻算法-Data Mining in the area of an algorithm-ML-KNN is an improved nearest neighbor algorithm
k1
- 用ｋ近邻法实现图像识别，程序比简单，需要训练集-K neighbor method used to achieve image recognition, the program than the simple need for training set
Nearest-neighbor-interpolation-and-the-speed-optim
- 近邻取样插值和其速度优化，是图像缩放技术中重要的技术之一，代码很丰富，稍作修改就可用于自己的代码中-Nearest neighbor interpolation and the speed optimization of sampling，is one of Image scaling technology