搜索资源列表
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
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
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.
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
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.
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
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
jueceshu
- 数据挖掘,决策树算法(对天气状况影响运不运动进行决策),代码完整,附带数据。-Data mining, decision tree algorithm (weather affect shipment don t make decisions), code complete, the supplementary data.
rpart
- rapart函数是R语言中关于建立决策树的函数,利用这个函数源码,我们可以进行决策树分类算法的使用。-rpart is the code which we can use it to create decision tree.
JavaToTree
- zijizai da si de shi hou 使用java实现的决策树算法,-Using java to achieve the decision tree algorithm
TreeforR
- 自己使用R,语言编写的决策树实现算法,比较容易理解,大家可以-Using the R language to achieve the decision tree algorithm implementation, easier to understand
datamining
- 这是一个数据挖掘的算法模型,可以实现多维度、多数据、多分类的数据分析。包含对样本和数据的预处理算法,LM神经网络算法和DT决策树算法,并对两种模型进行评价的算法。-This is a data mining algorithm model, you can achieve multi-dimensional, multi-data, multi-class data analysis. Including the preprocessing algorithm for samples and d
6475607
- 决策树算法C4 5源码, The directory Data contains some sample datasets M()
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)