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小波包能量谱
用于信号特征提取，提取信号的小波包能量谱(Extracting the wavelet packet energy spectrum of the signal)
- 2020-06-27 01:40:01下载
- 积分：1
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89245721
说明：
- 2017-12-09 07:59:44下载
- 积分：1
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Kares入门资料打包
说明： 深度学习框架Keras入门资料，里面的代码包括课件和DEMO有利于新书入门学习，简单易懂(Keras Introductory Information of Deep Learning Framework, which includes courseware and DEMO, is helpful for introductory learning of new books. It is easy to understand.)
- 2020-06-17 17:00:01下载
- 积分：1
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python疫情数据可视化
说明： 通过时事数据可视化系统，可以清楚地了解全球疫情分布的状况以及密度，以便做出相应的对策(Through the current affairs data visualization system, it is possible to clearly understand the distribution and density of the global epidemic in order to make corresponding countermeasures)
- 2021-03-05 10:19:31下载
- 积分：1
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从零开始学Python网络爬虫源代码+教学PPT
《从零开始学爬虫》的配套资料（PPT和源码）("Learning Reptiles from Zero" (PPT and Source))
- 2019-03-18 22:06:06下载
- 积分：1
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mlno
一个833分酒问题的求解,C++编写,简单易读,输出最佳路径解,()
- 2018-02-04 15:22:16下载
- 积分：1
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OTL_AIJ_code
基于matlab实现的一个在线迁移学习算法OTL,(Based on matlab to achieve an online migration learning algorithm OTL,)
- 2020-10-28 21:29:57下载
- 积分：1
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频繁项集挖掘算法--FPGROWTH算法
数据挖掘经典算法，频繁项集挖掘经典算法，FPGROWTH算法，源码中有详细说明
- 2023-06-08 16:30:03下载
- 积分：1
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QB模型 神经网络
说明： 从数据库获取车辆在一段时间内的所有行驶记录的相关数据，确定所需数据为GPS经纬度坐标和驾驶时长等，QB模型采用MDF的思想,其基本思想为:通过平均直接翻转距离函数定义两条轨迹之间的距离，两条轨迹需要具有相同的经纬度点数，具有相同点数的轨迹最大的优点是对轨迹距离成对计算，且相同轨迹之间具有更高的分辨率，对于轨迹聚类的结果有一定的优化。(Retrieved from the database cars all over a period of time, record the related data, determine the required data for the GPS latitude and longitude coordinates, and the driving time, QB model by adopting the idea of MDF, its basic idea is: flip directly by the average distance function definition of the distance between two trajectories, two tracks will have the same latitude and longitude points, and has the biggest advantages of the same points of trajectory track distance calculation in pairs, and has higher resolution, between the same trajectory for trajectory clustering results have certain optimization.)
- 2020-06-23 08:00:01下载
- 积分：1
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pu_ju_lei
将数据集转换为拉普拉斯矩阵，然后利用基于图论的谱聚类进行聚类。拉普拉斯矩阵采用高斯核函数，全连接方法计算。谱聚类擅长处理高维数据或非凸数据集。(The data set is transformed into Laplacian matrix, and then clustered by spectral clustering based on graph theory. The Laplacian matrix is calculated by using the Gauss kernel function and the full connection method. Spectral clustering is good at dealing with high-dimensional or non-convex data sets.)
- 2019-07-01 16:05:39下载
- 积分：1
