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A-comparative-study-on-heuristic-algorithms-for-g
- A comparative study on heuristic algorithms for generating fuzzy decision trees
target-detection-algorithm-
- 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
id3(c)
- ID3 Algorithm that uses decision trees to classify a give data.
decision-Tree
- 决策树是数据挖掘分类算法的一个重要方法。在各种分类算法中,决策树是最直观的一种。决策树(decision Tree)是在已知各种情况发生概率的基础上,通过构成决策树来求取净现值的期望值大于等于零的概率。-A decision tree is an important method of data mining classification algorithms. In various classification algorithms, decision trees is the most in
lecture-04-decision-trees-done
- Implementation of decision tree in data mining to solve multi branch problem