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决策树算法。 决策树算法。 决策树算法。-Decision tree algorithm. Decision tree algorithm. Decision tree algorithm. Decision tree algorithm. Decision tree algorithm.
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ID3决策树算法,有C语言、C++以及JAVA的3个版本的,希望对大家有用-ID3 decision tree algorithm, a C language, C++ and JAVA in three versions, we hope to be useful
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决策树算法,ID3的C++源码,比较简单,希望对大家有用。-Decision tree algorithm, ID3 to C++ source code is relatively simple, and I hope useful.
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实现决策树ID3算法,测试成功,可以直接使用-ID3 decision tree algorithm to achieve, the test is successful, can be used directly
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在matlab中实现ID3决策树算法--matlab源码-In the ID3 decision tree algorithm implemented in matlab- matlab source
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ID3决策树算法的JAVA实现.详细的实现过程:熵值条件熵,节点选择等。-ID3 decision tree algorithm JAVA implementation. Detailed implementation process: entropy conditional entropy, the node selection.
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matlab实现决策树C4.5算法,首先利用训练数据创建决策树,再用测试数据对决策树进行剪枝。-C4.5 decision tree algorithm matlab realize, first use training data to create decision trees, and then test data for decision tree pruning.
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MATLAB 决策树算法 ID3算法 能输出决策图分析误差-MATLAB ID3 decision tree algorithm can output decision diagram analysis error
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基于C4.5的决策树算法,一种非线性分类器-Based on C4.5 decision tree algorithm, a nonlinear classifier
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C语言实现的决策树算法,广泛应用在模式识别中-C language implementation of the decision tree algorithm, widely used in pattern recognition
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基于OpenCV的例程,修改实现了基于MFC对话框构架的决策树算法,将部份注释和运行提示译成了中文,有助于更好地理解原程序。-MFC dialog based Decision-Tree algorithm modifited from OpenCV source code, adding Chinese comment for better understanding the program.
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决策树算法部分代码(从文件中读数据并计算信息增益)-Part of the code of the decision tree algorithm (data read from the file and calculate the information gain)
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数据挖掘中的判定树算法,使用判定树对数据进行挖掘。-In data mining, the decision tree algorithm, using decision tree to data mining.
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J48 (unpruned or pruned C4.5 decision tree algorithm) WEKA project
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C4.5决策树算法,可以进行数据分类,是数据挖掘的经典算法-C4.5 decision tree algorithm, data classification, is a classic data mining algorithm
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数据仓库与挖掘中的决策树算法实现,是数据挖掘与仓库的平时作业-Data warehousing and mining, decision tree algorithm, data mining and warehouse Assignments
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决策树算法的实现,多余数据的类型不限,但是对数据的排版有点要求,可以参照具体的例子(文件夹中)。-The decision tree algorithm, any type of redundant data, but the layout of the data bit, you can refer to specific examples (folder).
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为克服传统目标识别方法在处理空间特征分布极为复杂的数据时的缺点,提出1 种基于决策树的多特征检测算法,并将其应用到基于视频的海上搜救目标检测中. 该算法首先提取图像中的颜色、亮度等信息,通过计算各特征的信息增益建立决策树,将搜救目标检测问题分解成3 层决策树分类问题. 实验表明,该算法能够提高多特征目标检测的效率,在救生艇、筏等海上搜救目标检测的应用中取得较好的结果.-Characteristics to overcome the traditional target recognition m
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决策树算法,本程序演示了决策树树的生成及使用的过程。
-The decision tree algorithm, the program demonstrates the process of generation and use of decision trees tree.
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一个学生成绩分析系统,基于数据挖挖掘的决策树算法的系统
-Student performance analysis system based on a system of data mining decision tree algorithm dig
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