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: 1000 |
Author:李思 |
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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: 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: 使用matlabR2007a编写的分类回归树代码，已经调试，可以运行-Prepared using matlabR2007a code classification and regression trees have been debugging, you can run Platform: |
Size: 1024 |
Author:jingzhongbo |
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Description: matlab版本的CART算法实现,分类与回归树的算法-matlab version of the CART algorithm, classification and regression tree algorithm Platform: |
Size: 254976 |
Author:liz |
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Description: matlab中cart决策树源代码，用于数据的分类和预测。-source code in matlab cart decision tree for data classification and prediction. Platform: |
Size: 1024 |
Author:阿布在 |
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Description: 分类工具包，含有多个分类算法的matlab源程序，适用于类别数据的分类和可视化-The Classification toolbox for MATLAB is a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discriminant Analysis (PLSDA), Classification trees (CART), K-Nearest Neighbors (kNN) and Soft Independent Modeling of Class Analogy (SIMCA).
This is the version 3.1 of the Classification toolbox for MATLAB
Classification toolbox for MATLAB has been released by Milano Chemometrics and QSAR research Group.
Visit our website at www.disat.unimib.it/chm
Platform: |
Size: 505856 |
Author:Alex |
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