搜索资源列表
KNNalgorithm
- K-Nearest neighbour algorithm-K - Nearest neighbor algorithm
pointzxh
- 平面点集,距离最近的两个点,采用动态规划算法.内有详细说明-planar point set, the nearest two points, dynamic programming algorithm. Are described
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
netlayer
- VC+MO最短路径算法 // 计算线的几何长度 double CalcLength() // 通过线的id得到线数据 BOOL GetLineData(int id) // 得到距离某点最近的线段,返回该线段的id int GetNearestLineData( double x, double y) // 判断两点是否重合 BOOL IsPtCoincide( NetPoint ptFirst, NetPoint ptSecond ) /
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 frame, using nearest neighbor method of classification
FormulaProcessor_beta1_CSharp
- 功能说明: 次组件提供的功能有二: 1、解析出数学表达式中的参数 2、计算数学表达式 此组件不但可以解析和计算数学表达式,还提供了一系列的数学基本函数,可应用于表达式中一块处理。提供的数学基本函数有:将值舍入到最接近的整数 rount(x)、向下取整函数 int(x)、向上取整 ceiling(x)、求两个数中最大数的函数 max(a,b)、求两个数中最小数的函数 min(a,b)、幂函数 pow(x,n)、求平方根的函数 sqrt(x)。 下载地址:http
antibezier
- 在给定n个插点的情况下,在最小2乘解的意义下,求m个控制点的最接近Bezier曲线-in a given n interpolation points circumstances, a minimum of 2 x sense solutions, m for the nearest control point Bezier curve
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.
LBTree
- 用VC。NET2005实现优秀的最近邻搜索算法LB-TREE的模拟和图形显示。具有建立优良数据结构和搜索功能-VC.NET2005 achieve outstanding nearest neighbor search algorithm LB-TREE simulation and graphics. With excellent data structure and search functions
zuijiejindiandui
- 本程序实现的功能是给出一系列点,找出他们之间距离最近的点对-the program's function is given a series of points, they find the distance between the nearest point
cpair
- 本程序可以在输入n点后,判断出这n个点中距离最近的两个点-procedures in the importation of n point, the judge out of this n points from the nearest two points
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
kmedfilter
- K近邻中值(均值)滤波器 1) 以待处理像素为中心,作一个m*m的作用模板。 2) 在模板中,选择K个与待处理像素的灰度差为最小的像素。 3) 将这K个像素的灰度均值(中值)替换掉原来的像素值。 -K-nearest neighbor median (mean) a filter) for the pixel to be addressed, for a m * m role template. 2) In the template, select and K-pending p
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 CrossValidate.m :m交叉验证 -Offlin
knn
- 在visual basic环境下,实现k-nearest neighbor算法。-in visual basic environment, achieving k-nearest neighbor algorithm.
NNP
- 最近点对问题,输入数据生成器自动生成2位点对,输出制定电的最近邻-nearest point of the problem, the input data generator automatically generate two points right, electrical output of the nearest neighbor