机器学习：Python机器学习在图像处理和算法实现中的应用，包括期望最大化，因子分析，高斯混合模型，OPTICS，DBSCAN，...
需积分: 50 95 浏览量
2021-02-16
03:01:44
上传
评论
收藏 2.73MB ZIP 举报
machine-learning-master.zip （45个子文件） 
machine-learning-master 
gaussian discriminant analysis.ipynb 9KB decision tree and random forest.ipynb 439KB data spam.csv 49KB iris.csv 5KB principal component analysis.ipynb 134KB naive bayes mixture model.ipynb 18KB k means.ipynb 276KB multiclass support vector machine.ipynb 25KB LICENSE 11KB optics.ipynb 91KB k nearest neighbors.ipynb 17KB factor analysis.ipynb 108KB binary support vector machine.ipynb 9KB README.md 7KB independent component analysis.ipynb 208KB gaussian mixture model.ipynb 112KB dbscan.ipynb 83KB preview 
kmeans.gif 109KB
machine-learning-profile.png 60KB Reverse Engineering project reverse engineering kmeans.ipynb 196KB reverse engineering mixture.ipynb 307KB reverse engineering density.ipynb 990KB README.md 13KB preview line erosion2 kmeans.png 1KB color channels bar kmeans.png 5KB bar rendered2 kmeans.png 6KB
color channels bar gmm.jpg 62KB bar chart re kmeans.png 10KB color channels bar optics.png 57KB line chart re kmeans.png 37KB color channels line kmeans.png 16KB color channels line gmm.jpg 103KB line chart.png 23KB color channels line dirichlet.jpg 218KB bar chart.png 3KB line erosion2 gmm.png 1002B color channels line optics.png 123KB line erosion1.png 28KB bar rendered1 kmeans.png 8KB color channels bar dirichlet.jpg 80KB color channels bar elbow method.png 6KB gradient descent.ipynb 282KB naive bayes.ipynb 28KB newton method for logistic regression.ipynb 44KB sequential minimal optimization.ipynb 51KB资源评论
