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[DataMining] id3 DL : 0: 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
Date : 2025-12-20 Size : 2kb User : liyu
[DataMining] released DL : 0: 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
Date : 2025-12-20 Size : 278kb User : chituma
[DataMining] CART DL : 0: 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.
Date : 2025-12-20 Size : 2kb User : yanghongmei
[DataMining] knn DL : 0: KNN分类器的MATLAB代码，速度快效果好，适合初学者使用。-KNN search without using any gancy data structure, such as kd-tree. However, it is the fastest knn matlab implementation I ever found.
Date : 2025-12-20 Size : 2kb User : 赵子龙
[DataMining] Rtree DL : 0: 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 application of the information.
Date : 2025-12-20 Size : 10.61mb User : taoshuqing
[DataMining] Decision-Tree-python DL : 0: 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
Date : 2025-12-20 Size : 4kb User : llw
[DataMining] Decision-Tree-classifier15 DL : 0: Decision Tree classifier by train and test
Date : 2025-12-20 Size : 10kb User : porya
[DataMining] DecisionTree-sna DL : 0: Decision Tree by python programinig
Date : 2025-12-20 Size : 25kb User : porya
[DataMining] project-1-skeleton DL : 0: 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
Date : 2025-12-20 Size : 1.04mb User :
[DataMining] minimum_spanning_tree DL : 0: 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
Date : 2025-12-20 Size : 1kb User : zhouqian
[DataMining] DecisionTreeAndRDF-master DL : 0: 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
Date : 2025-12-20 Size : 22kb User : 李磊
[DataMining] RandomForestaAdaBoost DL : 0: 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.
Date : 2025-12-20 Size : 40kb User : Rye
[DataMining] CARTandRFclass DL : 0: 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
Date : 2025-12-20 Size : 2kb User : linjianchu
[DataMining] decisionTree DL : 0: 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.
Date : 2025-12-20 Size : 20kb User : jianxiaodan
[DataMining] TreeGrowthForIris DL : 0: 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
Date : 2025-12-20 Size : 4kb User : 何志强
[DataMining] FP-tree DL : 0: 通过pyspark实现了fptree的使用，得到频繁项集-By pyspark realized fptree used to obtain frequent itemsets
Date : 2025-12-20 Size : 4kb User : zhang
[DataMining] decisiontree DL : 0: 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
Date : 2025-12-20 Size : 2kb User : john
[DataMining] decision-making-tree DL : 0: 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
Date : 2025-12-20 Size : 6kb User : 一蓑烟云
[DataMining] Cart-tree DL : 0: 实现CART树回归，树的生成与剪枝过程，并与简单线性回归进行对比-Implement a regression tree generation algorithm when the leaf nodes indicate 3rd order polynomials. Test your program with the dataset and compare the results with those of simple linear regression
Date : 2025-12-20 Size : 49kb User : smk
[DataMining] sklearn-tree-BN-knn DL : 0: 分类器的性能比较与调优: 使用scikit-learn 包中的tree，贝叶斯，knn，对数据进行模型训练，尽量了解其原理及运用。使用不同分析三种分类器在实验中的性能比较，分析它们的特点。本实验采用的数据集为house与segment。(Performance comparison and optimization of classifiers: We use tree, Bayesian and KNN in scikit-learnpackage to train the data model and try to understand its principle and application. The performances of three classifiers are compared and their characteristics are analyzed. The data set used in this experiment is house and segment.)
Date : 2025-12-20 Size : 1.24mb User : Ryan112

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