搜索资源列表
DecisionTree
- 决策树的判别，用于机器学习与模式识别，matlab源代码。-Discrimination tree for machine learning and pattern recognition, matlab source code.
DecisionTree-sna
- Decision Tree by python programinig
DecisionTree
- 数据挖掘决策树算法，使用决策树实现分类问题-Data mining decision tree algorithm, using a decision tree to classify problems
decisionTree
- 决策树java源代码。包含两个决策树算法的代码和一个贝叶斯算法的代码。-Tree java source code. The code consists of two decision tree algorithm and a Bayesian algorithm code.
decisiontree
- matlab决策树程序，输入数据和变量名，输出分类结果-matlab tree program, input data and variable names, the output of the classification results
DecisionTree
- 本程序是利用python写的一个决策树算法，通过该例子可以实现简单的决策树处理，也可以学习决策树算法的基本思想。-This procedure is to use python to write a decision tree algorithm, this example can be achieved by a simple decision tree processing, you can also learn the basic idea of the decision tree alg
DecisionTree
- 实现了机器学习中决策树的算法，实现环境是在python下。-Realize the Decision Tree
decisionTree
- 一个决策树的java实现版本，用于实现对离散和连续问题两种问题- Java implementation of a decision tree version, for the realization of discrete and continuous problems of two kinds of problems
DecisionTree
- 使用c++实现了决策树算法,举了一个比较合适的例子对其进行了说明。-Using c++ to achieve the decision tree algorithm, to give a more appropriate example of its descr iption.
decisionTree
- A simple one two layer decision tree implementation.
decisiontree
- 决策树的实现代码：利用信息增量来构建简单的决策树分类-Decision tree implementation code: Use information increment to build simple decision tree classification
decisiontree
- antropy id3 using matlab for machine learning
DecisionTree
- decision tree realize
DecisionTree
- 利用Anaconda编写的决策树，可用于分类(This decision tree algorithm which is used for classification coded by Anaconda.)
DecisionTree
- 分类算法的实现，解决分类问题，可在此基础上进行优化改进。(The implementation of classification algorithm can solve classification problems, and can be optimized and improved on this basis.)