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python 语音识别源码,语音导航, 树莓派源码开发

用python实现平行坐标图，用于高维数据可视化

python机器学习资料,适合初学者入门。有助于开发学习算法。

说明：  自动下载mitgcm模式数据，如水温，盐度，深度，海表面异常等(Automatically download MITgcm model data, such as water temperature, salinity, depth, sea surface anomalies, etc)

说明：  双椭球和高斯面热源函数，适用于abaqus焊接模拟，调用子程序。(Gauss surface heat source function)

python机器学习算法实战里KNN 算法代码。

This book is also about complexity science, which is an interdisciplinary field—at the intersection of mathematics, computer science and natural science—that focuses on discrete models of physical systems. In particular, it focuses on complex systems, which are systems with many interacting components.

串口调试助手

1) 使用凝聚型层次聚类算法（即最小生成树算法）对所有数据点进行聚类，最后聚成3类。相异度定义方法可选择single linkage、complete linkage、average linkage或者average group linkage中任意一种。 2) 使用C-Means算法对所有数据点进行聚类。C=3。 任务2（必做）： 使用高斯混合模型（GMM）聚类算法对所有数据点进行聚类。C=3。并请给出得到的混合模型参数（包括比例??、均值??和协方差Σ）。 任务3（全做）： 1) 参考数据文件第三列的类标签，使用聚类有效性评价的外部方法Normalized Mutual Information指标，分别计算任务1和任务2聚类结果的有效性。 2) 使用聚类有效性评价的内部方法Xie-Beni指标，分别计算任务1和任务2聚类结果的有效性。(The main results are as follows: 1) the condensed hierarchical clustering algorithm (that is, the minimum spanning tree algorithm) is used to cluster all the data points, and finally it is grouped into three categories. Any of the single linkage,complete linkage,average linkage or average group linkage methods can be selected for the definition of dissimilarity. 2) using C-Means algorithm to cluster all data points. C = 3.)

pong game in python using simplegui