搜索资源列表
Iris_s1
- Kmeans+PSO算法，处理IRIS数据集，输出fitness function的值，和粒子变化的动态图像,亲测可行。-Kmeans based PSO algorithms, dealing with classic dataset iris. the output is the value of fitness function, and the dynamic plot of the change of particle position
violinplot
- 这是关于机器学习中的代码，通过绘制violinplot图来观察数据的分布变化等-It s about machine learning code, distribution changes by drawing violinplot plans to observational data, etc.
change-detection
- 对数据做变化检测，分析哪些部分变化比较大，并绘图-The data do change detection, which analyzes some of these changes is relatively large, and drawing
degreediscountic2
- 改进的基于节点度的影响最大化算法，度打折是指，每一次迭代时，度的值会根据种子节点而发生变化。-Improved based on node degree maximization algorithm, and the influence of the degree of discount means that each iteration, the degree of value will change according to the seed node
Change-Detection-Code
- 遥感影像变化检测经典算法(IR-MAD、MAD、CVA、PCA),另外进行了算法的Demo和精度等计算评价（OA、Kappa、AUC、ROC）-Remote sensing image change detection classical algorithm (IR-MAD, MAD, CVA, PCA), were additionally algorithms and calculation accuracy Demo Assessment (OA, Kappa, AUC, ROC)
慢特征分析算法包
- 该算法旨在提取输入信号中的变化最缓慢的特征信号，即反映本质特性的信号。其中包含测试、简介、使用说明等。
TianCheng-master_chusai_qingyu
- 2018年甜橙金融杯大数据建模大赛初赛方案：通过追踪时间、设备、ip和经纬度等属性的变化来建模判断UID是否为黑产链 ## 代码说明： - gen_stat_feat.py 统计特征 - gen_w2v_feat.py word2vec特征 - lgb_train.py lgb训练模型 两份特征建模加权8:2比例融合即可0.792+，单独统计特征加UID列建模即可0.795。(The preliminary scheme of the 2018 Sweet