分类树算法（Classification Tree Algorithm） 分类树（又称判定树， decision tree） 是一种自 上而下递归地对数据进行分割的算法。
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树分类算法 MRDTL
决策树分类算法 Decision tree classification algorithm
分类与回归树算法 classification and regression tree ; CART
分类和回归树算法 classification and regression tree cart algorithm
基于决策树的分类算法 Classifying algorithm based on Decision tree
本文讨论了两种数据挖掘算法：分类树和群集。
This article discussed two data mining algorithms: the classification tree and clustering.
分类(也即分类树或决策树)是一种数据挖掘算法，为如何确定一个新的数据实例的输出创建逐步指导。
Classification (also known as classification trees or decision trees) is a data mining algorithm that creates a step-by-step guide for how to determine the output of a new data instance.
至今已经提出了决策树的很多算法，通过分析已知的分类信息得到一个预测模型。
So far, there are many algorithms have been given and we can gain a prediction model by analyzed known catalog information.
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