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machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
C4.5
- 数据挖掘分类算法决策树C4.5数据挖掘分类算法决策树C4.5-data mining C4.5
C4.5
- 改进型的决策树算法，特别的实用，欢迎大家下载，也可以用到论文算法中-Improved decision tree algorithm, especially useful, welcome to download, you can also use paper algorithm
ID3
- 数据挖据决策树算法ID3算法java实现，包含引用文件，简单易懂-Data Mining Decision Tree Algorithm ID3, simple and easy to understand by java, contains references to files
AdaBoost
- 加强树算法的一个实例，最后取得了很好的分类结果，便于推广，分类器的代码可以根据实际进行更改。-Strengthen an instance tree algorithm, finally achieved good classification results, easy to promote, classification code can actually make changes.
ID3
- id3,数据挖掘的决策树的经典算法，利用Java实现-data mining
id3
- id3决策树算法，maxlen为数据维数，根绝数据自行修改，根据属性名修改main函数，可运行-id3 decision tree algorithms, maxlen for the data dimension, eradicate data modify, modify the main function according to the attribute name, you can run
released
- 本文件是我自己写的决策树的一个例子，很适合初学者学习，用决策树分类，实现很简单-This document is an example of the decision tree of my own writing, it is suitable for beginners to learn, decision tree classification, to achieve a very simple
CART
- CART是决策树算法的一种，是数据挖掘的重要组成部分。-CART is a decision tree algorithm, is an important part of data mining.
Rtree
- R树是GUTTMAN于1984年提出的最早支持有序扩展的对象存取方法之一，也是目前应用最为广泛的一种空间索引结构，该资料为其的应用。-R tree is one of GUTTMAN first proposed in 1984 to support an orderly expansion of the Object Access Method, is currently the most widely used of a spatial index structure for the app
Decision-Tree-python
- python实现的决策树代码，包括数据，以及源代码- tree python code is implemented, including data, and source code
DecisionTree
- matlab代码实现决策树，是学习数据挖掘的基本分类器的入门代码-DecisionTree classifier about data mining coded by matlab
project-1-skeleton
- 本压缩包内有决策树，knn，linear的方法（包括10-fold） 替换data可以直接使用。-You can find decision tree, inn and linear method in my zip, include 10-fold. The data.py can replaced by yourself
minimum_spanning_tree
- 本程序是基于最小洗漱树的分类器 可得到分类效果不错的分类器-This procedure is based on a minimum wash tree classifier good classification results obtained classifier
DecisionTreeAndRDF-master
- id3决策树算法和随机森林算法，讲的很清晰，步骤很详细-id3 decision tree algorithms and random forest algorithms, said very clearly, very detailed step
RandomForestaAdaBoost
- 随机森林，决策树以及adaboost分类器的java实现。随机森林和adaboost都基于决策树完成。-Random forests, tree and adaboost classifier java. Random Forest and adaboost are based on the decision tree is complete.
DataMining_5
- java实现的决策树代码和随机森林以及Adaboost,里面有自带的数据集可以测试，结果和书上描述一样，亲测有效-DesicionTree，RandomForest and AdaBoost implemented by java,have been tested by myself.It can help those who want to learn data mining
ID3
- 决策树算法的实现，id3算法，内含实验数据以及报告-an example of id3 algorithm
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.
决策树代码
- 基础决策树算法适合初学者第一次尝试r编程(simple decision tree)