Description: 模式识别中多类分类问题决策树间接Induction of Decision Trees-Pattern Recognition in many types of decision tree classification of indirect Induction of Decision Trees Platform: |
Size: 896000 |
Author:john |
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Description: The algorithm ID3 (Quinlan) uses the method top-down induction of decision trees. Given a set of classified examples a decision tree is induced, biased by the information gain measure, which heuristically leads to small trees. The examples are given in attribute-value representation. The set of possible classes is finite. Only tests, that split the set of instances of the underlying example languages depending on the value of a single attribute are supported. Platform: |
Size: 4096 |
Author:Minh |
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Description: This my implementation of ID3 algorithm. The algorithm ID3 (Quinlan) uses the method top-down induction of decision trees. Given a set of classified examples a decision tree is induced, biased by the information gain measure, which heuristically leads to small trees. The examples are given in attribute-value representation. The set of possible classes is finite. Only tests, that split the set of instances of the underlying example languages depending on the value of a single attribute are supported. -This is my implementation of ID3 algorithm. The algorithm ID3 (Quinlan) uses the method top-down induction of decision trees. Given a set of classified examples a decision tree is induced, biased by the information gain measure, which heuristically leads to small trees. The examples are given in attribute-value representation. The set of possible classes is finite. Only tests, that split the set of instances of the underlying example languages depending on the value of a single attribute are supported. Platform: |
Size: 62464 |
Author:Putra |
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Description: What is classification? What is prediction?
Issues regarding classification and prediction
Classification by decision tree induction
Bayesian classification
Rule-based classification
Classification by back propagation
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Size: 530432 |
Author:vicky |
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Description: 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 Platform: |
Size: 4096 |
Author:何志强 |
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