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boxcox
说明: boxcox函数的python实现,引用该函数可将偏态分布调整为正态分布(Python implementation of box Cox function)
- 2020-06-17 09:40:01下载
- 积分:1
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k-means java实现 Iris四大数据集
通过优化的k-means算法 采用了密度和优化评测函数实现了对Iris等数据集的聚类。
- 2022-03-18 06:28:52下载
- 积分:1
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EM 算法
用EM算法求解高斯混合模型并可视化,数据是男女生的身高分布,前提是初始化男女生身高各自的均值和方差和比例,然后由EM算法求解,男女生身高的均值方差,以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, variance and proportion of the male and female height, then the mean variance of the height of male and female is solved by the EM algorithm, so as to fit the data.)
- 2018-07-14 12:46:57下载
- 积分:1
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degreeor
复杂网络聚类系数的matlab编程代码,将复杂网络存储为矩阵,再对其matLab编程,可得到度分布图(The MATLAB programming code of clustering coefficient of complex network is used to store complex network as matrix, and then matLab programming is used to get the degree distribution graph.)
- 2018-05-23 05:28:45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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频繁项集挖掘算法
频繁项集挖掘算法,能在大量局部特征中发现频繁空间配置,这些空间配置可以作为词语,加入到特征包中进行分类,实现图像分类。
- 2022-03-23 21:38:47下载
- 积分:1
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HMM-homework
隐马尔科夫实现,包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)
- 2019-04-26 17:02:43下载
- 积分:1
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hierarchical-clustering
这段代码是层次聚类的Matlab实现代码(
This code is hierarchical clustering Matlab implementation code)
- 2016-10-16 10:43:09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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qb神经网络
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