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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
- 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
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
DecisionForest_v3.1
- [1] Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer and Min Jun Kim, Tracking Tetrahymena Pyriformis Cells using Decision Trees , 2012 21st International Conference on Pattern Recognition (ICPR), Pages 1843-1847, 11-15 Nov. 2012. [2] Q
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.
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
Decision-Tree-classifier15
- Decision Tree classifier by train and test
DecisionTree-sna
- Decision Tree by python programinig
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
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.
CARTandRFclass
- 使用Decision Tree 实现cart和实现随机森林算法，比较好的学习工具，而且也能用，速度之前和别人讨论，被优化过-using decision tree trick to fullfil the CART and RandomForest ,it is good learing tool ,and ,practical use. it was optimize speed
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.
TreeGrowthForIris
- 数据挖掘十大算法之一，决策树归纳算法，用于iris.data数据，能够实际运行-Data mining is one of ten algorithms, decision tree induction algorithm for iris.data data, can actually run
treePlotter
- 机器学习中的决策树，利用python实现的算法-Decision tree in machine learning, using Python to achieve the algorithm
P1-s2.0-S0957417410001107-main
- Business cycle predictions face various sources of uncertainty and imprecision. The uncertainty is usually linguistically determined by the beliefs of decision makers. Thus, the fuzzy set theory is ideally suited to depict vague and uncertain feature
decision-making-tree
- 决策树的Python代码实现，要所报内含原数据-Decision Tree Python code, containing the original data to be reported
Optimal-Decision-Fusions
- 多传感器融合的优化决策理论，对于学习传感器数据挖掘有一定的借鉴意义。-Optimal Decision Fusion in Multiple Sensor Systems,pdf format.