搜索资源列表
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基于决策树的n则交叉验证分类器
(决策树程序直接调用matlab中的)
crossvalidate.m N则交叉验证程序,N可选
NDT.mat 含9个国际公认标准数据集,已做过标么处理,可直接使用
专业-n Based on Decision Tree is cross-validation classification (decision tree directly call the Matlab) cr ossvalidate.m N is cross-validation
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用matlab编写的CART数据挖掘决策树算法-using Matlab CART prepared by the Data Mining Decision Tree Algorithm
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C4.5决策树matlab程序,本人找了很久才找到,绝对能用-C4.5 Decision Tree code
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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.
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NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
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决策树,很经典,不是一般的经典,你看看吧-Decision tree, it is classic, not an ordinary classic, you take a look at it
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决策树算法 经典的ID3算法 用于决策树规则学习等等 在规则学习以及分类中有重要的作用-classic decision tree mode for classification and rule learning
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基于Matlab编写的决策树,包含train,validation,test部分-Decision Tree implemented using Matlab
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如何使用matlab自带的决策树进行数据的分类,包括分类树,回归树-How to use matlab own decision tree classification of data, including classification trees, regression trees
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这是一个决策树的matlab实现,已经测试通过-This is a matlab implementation of decision tree, have the test pass
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决策树ID3算法的MATLAB程序,这里采用信息增益的方法.-MATLAB program of Decision Tree Algorithm ID3,by the information gain.
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决策树源代码,用matlab语言编写的,适用于分类及相关问题的分析-Decision tree source code, written with matlab language, suitable for classification and analysis of the related problem
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使用matlab建立决策树,分析数据。决策过程中使用了matlab自带的建立决策树的函数。-Using decision trees to predict contact lens type.Training data file (lense.txt) and descr iption file (comments.txt).
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用MATLAB实现的决策树,附带有测试代码和数据集。-MATLAB implementation of a decision tree, comes with test code and data sets.
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几种基于Matlab的分类算法研究(自组织神经网络,SOM神经网络,LVQ神经网络,决策树,随机森林算法)-Several classification algorithm based on Matlab research (self-organizing neural network, SOM neural network and LVQ neural network, decision tree, the random forest algorithm)
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数据处理中经常使用决策树算法,在MATLAB中编辑决策树算法(Decision tree algorithm is often used in data processing, and the decision tree algorithm is edited in MATLAB)
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本程序论述在MATLAB环境下如何实现神经网络,包括了常用的神经网络及相关理论,如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。(This procedure describes how to realize neural network in MATLAB environment, including the commonly used neural network and relate
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matlab 实现梯度提升决策树。用于能耗预测。(Matlab implements a gradient boosting decision tree. Used for energy forecasting.)
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