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Description: 基于空间距离加权的矢量中值滤波器考虑了R、G、B三分量的关系，提高了图像滤波性能-The vector median filter based on spatial distance weighting takes into account the relation of three components of R, G and B, and improves the filtering performance of the image
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Size: 1024 |
Author: 张凯楠 |
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Description: 在CAD中输入AP，加载下载的LSP程序：IncArrayV1-7.lsp。
加载成功后，插件提供两个命令：incarray和inarrayd。
Incarray是Incremental Array的简写，inarrayd的d表示动态（dynamic），在光标拖动的过程中可以看到阵列的效果。两个功能的效果可分别参看顶部的小视频。
两个命令的提示是一样的，首先设置增量，然后选择对象，然后就是设置阵列的间距和总距离，提示如下：
Specify increment <1>: （设置数字的增量，默认为1，如果有特殊需要，可以改为其他数字）
选择对象：（可单选或多选，选择完回车继续下面的操作。
Specify base point: （拾取基点）
Specify array vector: （拾取阵列的间距）
Specify array end point:（拾取阵列的端点）(Enter AP in CAD and load the downloaded LSP program: IncArrayV1-7.lsp.
When the load is successful, the plug-in provides two commands: incarray and inarrayd.
Incarray is shorthand for Incremental Array, inarrayd's D stands for dynamic (dynamic), and you can see the effect of the array during cursor dragging. The two function effects can be seen separately at the top of the small video.
The prompt for the two commands is the same. First, set the increment, then select the object, and then set the spacing and total distance of the array, as follows:
Specify increment <1>: (sets the increment of the number, defaults to 1, and if there is a special requirement, can be changed to other numbers)
Select objects: (can choose single or multiple selections, after enter to continue the following operations.
Specify base point: (pick base point)
Specify array vector: (spacing between pickup arrays)
Specify array end point: (pick the end of the array))
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Size: 3072 |
Author: zhaoyang9111
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Description: 计算几何算法，包括以下内容：目录
㈠ 点的基本运算
1. 平面上两点之间距离 1
2. 判断两点是否重合 1
3. 矢量叉乘 1
4. 矢量点乘 2
5. 判断点是否在线段上 2
6. 求一点饶某点旋转后的坐标 2
7. 求矢量夹角 2
。。。。。。(Catalog
A bit of basic arithmetic
1. the distance between two points on the plane is 1
2. determine whether the two points coincide 1
3. vector product 1
4. vector dot product 2
5. whether the judgment point is on the line 2
6. ask for a bit of the coordinates after a point of rotation 2
7. vector angle 2)
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Size: 47104 |
Author: zredb
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Description: IDW inverse distance weighting method, Gaussian white noise generator, matlab development toolbox support vector machine.
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Size: 14336 |
Author: pingsenlui
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Description: matlab development toolbox support vector machine, There are reference Oh, FIG simulation speed, distance, amplitude three-dimensional image.
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Size: 8192 |
Author: fentanhen
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Description: 求解单旅行商问题的智能算法，蚁群算法。
输入城市间赋权向量（城市间路程），即可输出经过所有城市且总路程最短的最小哈密顿环。(telligent algorithm for solving single traveling salesman problem, ant colony algorithm.
By inputting the weight vector between cities (the distance between cities), the minimum Hamiltonian ring of all cities and the shortest total distance can be output.)
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Size: 9216 |
Author: 王文轩
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Description: 得到图像的特征点以及对应的特
征向量后，采用关键点特征向量的欧式距离作为两幅图
像中关键点的相似性判定度量(The feature points and corresponding features of the image are obtained
After the eigenvector, the Euclidean distance of the feature vector of the key points is used as the two map
Similarity measure of key points in image)
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Size: 1209344 |
Author: 四六年纪源
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Description: K-means算法是一种硬聚类算法，根据数据到聚类中心的某种距离来作为判别该数据所属类别。K-means算法以距离作为相似度测度。(kmeans uses the k-means++ algorithm for centroid initialization and squared Euclidean distance by default. It is good practice to search for lower, local minima by setting the 'Replicates' name-value pair argument.
idx is a vector of predicted cluster indices corrresponding to the observations in X. C is a 3-by-2 matrix containing the final centroid locations.
Use kmeans to compute the distance from each centroid to points on a grid. To do this, pass the centroids (C) and points on a grid to kmeans, and implement one iteration of the algorithm.)
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Size: 2048 |
Author: Brook Cheng |
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Description: /* A C++ version of Matlab's qamdemod(y, M, varargin)
* Align each symbol to the nearest constellation points by minimum Euclidean distance.
* The function only consider rectanglular constellation diagram and grey code.
* The input is assumed to have been downconverted into baseband.
* I is the I component of phase and Q is the Q component of phase.
* The I and Q should be NxM or 1xM matrix/vector, in which the N indicate the subchannels and M indicates the symbols.
* The function treats each row as a subchannel and normalizes them respectively.
*/
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Size: 1024 |
Author: EsonJohn |
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Description: K-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototype based objective function clustering method. It is the distance from the data point to the prototype as the objective function of the optimization, and the method of using the function to find the extremum is used to get the adjustment rules of the iterative operation. The K-means algorithm takes Euclidean distance as the similarity measure, it is to find the V optimal classification corresponding to an initial cluster center vector, so that the evaluation index J is the smallest. The error square sum criterion function is used as a clustering criterion function.)
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Size: 1024 |
Author: Daizy7 |
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Description: 采用Visual Studio 2010基于ArcEngine 10.1开发，采用C#开发语言，基于.Net Framework 4.0运行环境.可以打开ArcGIS支持的所有数据格式，支持将数据保存为mxd地图文档。支持图层移动，渲染功能，支持常用的GIS操作，如放大、缩小、漫游等。能够查看矢量图层的属性表，并进行条件选择，在地图上高亮显示。能够显示鼠标当前所指的要素属性信息，鼠标滑过教学楼可以显示其名字和类型（通过配置实现，本软件只配置了建筑物图层）。能够进行最短路径分析，根据手动选取的起止位置，生成可能的导航路径，显示最优的三条路径信息（按最短时间、最短距离、经过对象（建筑物）最多）。
注：本程序是比较基础的路径规划实验，代码量较小，由于实验数据较大超过了限制，并未上传，但给出了数据制作方式。如有需要原始实验数据的话请留言。(Developed by Visual Studio 2010 based on ArcEngine 10.1, using C # development language and running environment based on .Net Framework 4.0. Support layer movement, rendering function, support common GIS operations, such as zooming, zooming, roaming, etc. It can view the attribute table of the vector layer and select the condition, which can be highlighted on the map. It can display the attribute information of the elements that the mouse currently refers to, and the name and type of the building can be displayed by sliding the mouse across the teaching building (through configuration, this software only configures the building layer). The shortest path analysis can be carried out, and the possible navigation paths can be generated according to the manually selected starting and ending positions, showing the optimal three path information (according to the shortest time, the shortest distance and the most objects (buildings).)
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Size: 9982976 |
Author: Micky Z |
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Description: 把图片表示成一个向量，通过计算向量之间的余弦距离来表征两张图片的相似度。(The image is represented as a vector, and the cosine distance between the vectors is calculated to represent the similarity of the two images.)
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Size: 274432 |
Author: shuhuiling |
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