资源列表
K-means
- K均值算法的详细代码实现以及含有详细的注释信息，该代码已通过验证可以运行成功-K-means
kNNinpython
- 用Pyhton写的一个KNN算法，主要来源于机器学习的书籍-With Pyhton write a KNN algorithm, mainly machine learning books
treePlotter
- 用python语言写的一个分类算法，用于树绘图，机器学习算法-Python language written with a classification algorithm for tree drawing, machine learning algorithms
bayes
- 用Python写的，基于概率论的分类方法，朴素贝叶斯分类器-Written in Python, based on probability theory classification, naive Bayes classifier
logRegres
- 机器学习算法，Logistic回归算法，最优化理论和梯度下降-Machine learning algorithms, Logistic regression algorithm, optimization theory and the gradient descent
svmMLiA
- 机器学习算法，支持向量机，与其他分类器的比较算法-Machine learning algorithms, support vector machines, and other classifiers comparison algorithm
adaboost
- 机器学习算法，利用adaboost元算法提高分类性能，处理非均衡分类问题-Machine learning algorithm, using adaboost element algorithm to improve the classification performance, handling classification problems disequilibrium
regression
- 机器学习算法，预测数值型回归，岭回归和逐步线性回归-Machine learning algorithms to predict numerical regression, ridge regression and stepwise linear regression
regTrees
- 机器学习算法，树回归，CART算法，回归与模型树算法，局部加权线性回归-Machine learning algorithms, regression tree, CART algorithm, regression and model tree algorithm, locally weighted linear regression
treeExplore
- 机器学习算法，树剪枝算法，预剪枝，后剪枝，模型树的叶结点生成-Machine learning algorithms, tree pruning algorithm, pre-pruning, pruning, tree leaf node model generation
kMeans
- 机器学习算法，无监督学习，利用k均值聚类算法对未标注数据分组-Machine learning algorithms, unsupervised learning, the use of k-means clustering algorithm for unlabeled data packets
apriori
- 机器学习算法，使用Apriori算法进行关联分析，频繁项集，关联规则-Machine learning algorithms, Apriori algorithm using correlation analysis, frequent itemsets, association rules