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goss
- 用GOSS解线性方程组 Dim i As Integer 循环变量 Dim j As Integer 循环变量 Dim k As Integer 循环变量 -with Goss solving linear equations Dim i As Integer Dim cycle variable j As In teger cycle variables As Integer Dim k cycle variables
K-meanCluster
- 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 f
线形方程组求解
- 用Gauss消元法、选列主元的Gauss消元法求线性方程组（1）的解，要求输出增广矩阵的消元变化过程。 用Gauss消元法、选列主元的Gauss消元法求线性方程组（1）的解，要求输出增广矩阵的消元变化过程 42x1+2x2+3x3=3 x1+7x2+7x3=1 -2x1+4x2+5x3=-7 算法思想：Gauss消元法是将线性方程组化为上三角形线性方程组，然后再用一个回代过程求这个上三角形线性方程组的解；选主元的Gauss消元法是在Gauss消元法上增加了选列主元
convhull
- 设平面上n个点为 ，坐标原点为 。可按照下面方法求得包含这n个点的凸多边形。 (1)求最右边点，即x坐标最大点，设为 。 (2) 以 点为中心，在其余 个点中选取与 逆时针旋转角度最小的点，设为 。 (3)再以 点为中心，在其余 个点中选取与 逆时针旋转角度最小的点 。如此类推，直到新选取的点与 点重合为止。设已求得多边形k个点依次为 ，其中第 点与第1点重合。则分别以点 为三角形顶点计算面积并求和即可。 -Let n points in the plane as the
kjunzhijulianC++
- c++编写的程序，用K均值聚敛的算法，相当的方便。-c++ preparation procedure, using K-means algorithm amassed a considerable convenience.
7z465
- An introduction to MPI for Computational Mechanics by P.K. Jimack and N.Touheed Computational PDE Unit school of Computer Studies
tsp_nn
- KNN classifiers, training is training set, testing is test set, D is the distance, D=1 is mandistance D=2 is 欧氏距离 D=3是 infinite norm K is the number of selected neighbors- KNN classifiers, training is training set, testing is test set,
matrix_mpi
- Multiplication of matrices of size and MxK HxM. ALL shipment must be made without blocking! Managing the process: 1. Asks for the dimensions of matrices M, K, N. 2. Produces dynamic formation and filling of matrix operands. 3. Prepares
AKL
- 使用DCOM和VC++6.0编程实现了AKL并行K选择算法！带有详细的注释！非常详细可直接运行和测试。-Using DCOM and VC++6.0 K parallel programming selection algorithm of the AKL! With detailed notes! Very detailed and the test can be run directly.
www
- 一本将基于近邻传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助-Abstract: A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP is an efficient a
k-means
- k-means MPI implementation for sparse matrixes
jacobi
- A: aij, 1<= i,j<=n b: 1<=i<=n x0: intial guess, 1<=i<=n tol: tolerance N maximum number of iterations k: number count of iteration Xm(:,k): X in each k iteration-Jacobi s method: In numerical linear algebra, the
strech
- 去斜率（strech）参考信号与回波信号混频后得到中频输出信号S(t)=Aexp(j*2*pi*f0*t+phase) 其中f0与回波延时的关系为： f0=k*delay_t K为线性调频斜率，delay_t为回波延时 将s(t)采样，FFT变换即可得到目标距离与频谱的关系。 Strech 信号测距 输入混频后的中频信号（图一），经采样及FFT变换得到频谱（图二） 再根据频谱与距离的关系式R=Tcf/2B显示出距离(图三) -Go slope (strech
K-matrix
- pso算法求解多维矩阵的matlab程序-pso algorithm matlab program for multi-dimensional matrix
k-means_mapreduce
- 这是一个k-means算法在单机上的MapReduce实现-This is a k-means algorithm is implemented on a single machine' s MapReduce
K-mean-clustering-algoritm
- k均值聚类算法，帮助学习、使用，欢迎下载、-k-means clustering algorithm to help learn, use, welcome to download,
BEZIER
- 一个完成第k小问题的选择算法，可以实现，而且有三个项目-Completion of a small problem of the k selection algorithm can be achieved, and there are three items
test3
- K-means聚类算法实现策略源代码实现，可以聚类分析一维数据-K-means source programe
CPPkmeans
- 用C++汇编语言编写的K均值聚类算法，其中包括输入文件的编写格式-C++ written in assembly language using K-means clustering algorithm, including the preparation of the input file format
Matlab-R-K
- R-K算法求解，有力的运用了matlab的快捷与方便，完全源码-R- K algorithm, the use of the matlab fast and convenient, complete source code