Description: 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve Platform: |
Size: 2048 |
Author:利军 |
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Description: matlab数据挖掘算法。实用cart决策树进行分类,可识别多类。decision tree algorithm, classification.-Matlab data mining algorithms. Practical cart decision tree classification, identification number category. Decision tree algorithm, the classification. Platform: |
Size: 1024 |
Author:李思 |
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Description: vc++下的决策树cart算法,最为经典的算法之一。-vc++ under the cart of the decision tree algorithm, one of the most classic algorithm. Platform: |
Size: 2048 |
Author:and |
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Description: C5.0 决策树源码, 此算法要优于C4.5算法-C5.0 decision tree source, this algorithm is superior to C4.5 algorithm Platform: |
Size: 81920 |
Author:Jianfei Wu |
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Description: 这是一个分类和回归树算法,它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation. Platform: |
Size: 1024 |
Author:肖箫 |
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Description: The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 " Platform: |
Size: 1024 |
Author:loris nanni |
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Description: 决策树算法的matlab实现,主要适用的是id3
算法思想-Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking Platform: |
Size: 6144 |
Author:fj |
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Description: 此为机器学习算法中的决策树方法之一CART,也是决策树的基本算法-This is the machine learning algorithm, one of the decision tree method CART, is the basic decision tree algorithm Platform: |
Size: 2048 |
Author:Zechao Li |
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Description: 使用MATLAB语言完成的决策树算法。
里面有详细说明-Using the MATLAB language to complete the decision tree algorithm. Details inside Platform: |
Size: 87040 |
Author:老虎 |
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Description: ID3决策树算法,实现不同条件下数据的分类-ID3 decision tree algorithm, the classification of data under different conditions Platform: |
Size: 70656 |
Author:孙东 |
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