Matlab的centroid.m、mse_dist.m、uq_dist.m文件 ，它们分别求：一个区域的质心、对已知分布和量化区域边界的均方量化误差、采用均匀量化对一给定信源量化时的失真。
标签： centroid mse_dist uq_dist Matlab
上传时间： 2016-06-17
上传用户：410805624
Set of functions to calculate the centroid, central moments and normalised moments of a binary image. Easy to understand, implemented in matlab
标签： moments normalised functions calculate
上传时间： 2014-01-11
上传用户：wangdean1101
matlab tracking source code to track a moving object on the scene by using centroid and rectangle method
标签： rectangle centroid tracking matlab
上传时间： 2013-12-11
上传用户：www240697738
The function applies the Madsen method for Doppler centroid estimation. The input are: 1) the raw data, the parameter of the distance between samples in azimuth to be correlated and the PRF (Pulse repetition frequency)
标签： estimation The the centroid
上传时间： 2017-08-12
上传用户：pinksun9
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
标签： the decision clusters Cluster
上传时间： 2013-12-21
上传用户：gxmm
ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis)
标签： ClustanGraphics Complete Neighbor Linkage
上传时间： 2014-01-02
上传用户：003030
Matlab 画三维立体图形 The aim of geom3d library is to handle and visualize 3D geometric primitives such as points, lines, planes, polyhedra... It provides low-level functions for manipulating 3D geometric primitives, making easier the development of more complex geometric algorithms. Some features of the library are: - creation of various shapes (3D points, 3D lines, planes, polyhedra...) through an intuitive syntax. Ex: createPlane(p1, p2, p3) to create a plane through 3 points. - derivation of new shapes: intersection between 2 planes, intersection between a plane and a line, between a sphere and a line... - functions for 3D polygons and polyhedra. Polyhedra use classical vertex-faces arrays (face array contain indices of vertices), and support faces with any number of vertices. Some basic models are provided (createOctaedron, createCubeoctaedron...), as well as some computation (like faceNormal or centroid) - manipulation of planar transformation. Ex.: ROT = createRotationOx(THETA); P2 = transformPoint3d(P1, ROT); - direct drawing of shapes with specialized functions. Clipping is performed automatically for infinite shapes such as lines or rays. Ex: drawPoint3d([50 50 25; 20 70 10], 'ro'); % draw some points drawLine3d([X0 Y0 Z0 DX DY DZ]); % clip and draw straight line Some functions require the geom2d package. Additional help is provided in geom3d/Contents.m file, as well as summary files like 'points3d.m' or 'lines3d.m'.
标签： Matlab 画三维立体图形
上传时间： 2015-11-02
上传用户：A1321
