diffuser_FDTD_example

测井曲线数据处理源代码-log data processing source code

说明：  不同的视觉差效果混合在一起来组成一个HTML5滚动视觉差特效页面(A very cool effect of different styles of page layout slide effects. This special effect)

最新扫雷最新游戏最新扫雷最新游戏

说明：  有限单元法及计算程序 (王焕定 吴德伦1997，哈尔滨建筑大学)(Finite Element Method and Computing Program (Wang Huanding, Wu Delun, 1997, Harbin University of Architecture))

说明：  在接入风电场之后，计算风机出力的有功功率的半不变量(Calculation of fan semi invariants)

说明：  模拟行人从房间疏散过程，基本原理采用社会力模型(An evacuation model based on the social force model)

php中英版本 仿alibaba贸易平台-English and Chinese versions of php like alibaba trading platform

说明：  rf online database moddification

K-means算法是基于划分的思想，因此算法易于理解且实现方法简单易行，但需要人工选择初始的聚类数目即算法是带参数的。类的数目确定往往非常复杂和具有不确定性，因此需要专业的知识和行业经验才能较好的确定。而且因为初始聚类中心的选择是随机的，因此会造成部分初始聚类中心相似或者处于数据边缘，造成算法的迭代次数明显增加，甚至会因为个别数据而造成聚类失败的现象。(K-means algorithm is based on the idea of partitioning, so the algorithm is easy to understand and the implementation method is simple and feasible, but it requires manual selection of the initial number of clusters, that is, the algorithm is with parameters. The number of classes is often very complex and uncertain, so professional knowledge and industry experience are needed to better determine. Moreover, because the selection of initial clustering centers is random, some initial clustering centers will be similar or at the edge of data, resulting in a significant increase in the number of iterations of the algorithm, and even the phenomenon of clustering failure due to individual data.)

局域波分解MATLAB代码，很全的，很好用-Local Wave Decomposition of MATLAB code