shiyan

二维多密度网格聚类算法，主要是完成二维数据的网格聚类，采用的是多密度临近的算法。(Two-dimensional density grid clustering algorithm)

对matlab初学者很有帮助，尤其是simulink的爱好者。(Matlab helpful for beginners, especially the simulink lovers.)

matlab编写的元胞自动机，用谱方法计算流体力学一些流动现象的整体稳定性,相参脉冲串复调制信号。( matlab prepared cellular automata, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Complex modulation coherent pulse train signal.)

matlab的一种基于密度的聚类方法，和划分方法和中心计算方法比较效果较好(matlab a density-based clustering method, and the division method and the calculation of comparative effectiveness center is better)

this file is sample ocr matlab code

Metropolis Hastings code

Tex to speech convsersion using matlab.

i am submiting the pca face recognition source code for single image

这是一个Knn分类算法的Python实现，Matlab中有类似的函数(knn classifer)

本文基于毕肖普法和蒙特卡洛法,利用MATLAB编程软件计算了边坡结构的失效概率Pf和对应可靠指标β.在计算上述Pf和对应β时,考虑了土体三个主要基本参数(重度γ、内摩擦角(Ψ)、粘聚力c)的随机特性.利用MATLAB程序的计算结果表明,随机变量对边坡可靠度的影响与基本随机参数对抗滑反力的贡献大小有关,即,贡献大的基本随机参数,它的随机波动对结构失效概率Pf的影响也较大,反之亦然.另外,基于MATLAB的算例计算结果还表明:边坡结构失效概率Pf对内摩擦角(Ψ)较敏感,而对重度y和粘聚力c次之.其次,当同时考虑三个随机变量的联合波动对Pf的影响时发现,当它们在小范围内随机波动时,其联合特性对Pf的影响较敏感,但当它们在大范围内随机波动时,Pf主要受敏感随机变量的影响,而三个随机变量联合作用对Pf的影响和敏感随机变量(Ψ)单独作用时相差不大.由此可见,在实际边坡工程可靠性分析中,土体内摩擦角起主要作用,不容忽视.(Based Bishop method and Monte Carlo method, using MATLAB programming software to calculate the failure probability Pf and the corresponding slope reliability index β structure in the calculation of the above Pf and the corresponding β, consider the three main basic soil parameters (severe γ internal friction angle (Ψ), cohesion c) of the random nature of calculation results using MATLAB program shows that the influence of random variables on the reliability of the basic random slope parameters against anti- slip contribution to the size of the force , that is , the contribution the basic parameters of large random , random fluctuations which affect the probability of structural failure Pf is also larger , and vice versa addition, the calculation based on MATLAB numerical results also show that : the structure of slope failure probability Pf internal friction angle (Ψ) more sensitive , while severe and cohesion c y followed . Secondly, when taking into account the impact of the joint fl)