搜索资源列表
ID3_java
- 使用java语言实现的ID3算法（决策树）-ID3 algorithm using java implementation
C45
- C4. 5 决策树展示算法的设计, C4. 5 决策树展示算法的设计-C4. 5 shows the decision tree algorithm design, C4. 5 shows Algorithm for Decision Tree
imageretrievalVC
- 实现对图像的检索，里面有很多经典的算法，SFT，决策树等等 -Realize image retrieval, there are many classical algorithms, SFT, decision tree, etc.
Sensitive-image-filtering
- 研究了基于内容敏感图像过滤中的若干关键 技术, 分析比较了三种常用的肤色检测算法, 利用统计阈值法评价了各个特征分类图像的能力强弱, 并依此实现了一个决策树 敏感图像过滤器。为有效降低肖像类正常图像的误判率, 又在过滤器中使用了人脸检测机制-Of context-sensitive image filtering based on the number of key technologies, analysis and comparison of the three common ski
dtree
- 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
HOG
- 为了准确地对监控场景中的运动目标进行语义上的分类， 提出了一种基于聚类的核主成分分析梯度方向直方图和二叉决策树支持向量机的运动目标分类算法．利用背景减法提取运动目标前景区域， 并识别出潜在候选运动目标．利 用提出的基于聚类的核主成分分析的梯度直方图描述子提取候选运动目标的特征， 以较低维数的数据有效地描述运动目标的有效特征． 将提取的运动目标特征输入二叉决策树支持向量机， 实现多类目标的准确分类． 通过在不同视频序列上的实验验证， 提出的算法对运动目标进行较好地分类， 而且在运算速度方面较传
DecisionTree
- 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.
Improved-ICA-character-recognition
- 该算法一种结合改进的基于独立分量分析（ICA）提取算法和基于多层感知器和单向二叉决策树的多类支持向量机分类方法。-The algorithm is a combination of improved based on independent component analysis (ICA) algorithm and multi-class support vector machine classification method based on binary decision tree of
112
- 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
C4_5
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. 分类决策树算法是从大量事例中进行提取分类规则的自上而下的决策树. -C4.5 algorithm is a machine learning algorithm, a classification decision tree algorithm, the core algorithm is ID3 algorithm classification tree algorithm is extracted from
1
- 机器学习的决策树算法，matlab编写。适合初学者对决策树算法有初步的认识。-Decision Tree Algorithm machine learning, matlab prepared. Suitable for beginners to have a preliminary understanding of the decision tree algorithm.
MyFrandomforest
- 随机森林算法，用来训练检测器的决策树。行人跟踪的一种常用算法-Random Forest algorithm is used to train the detector tree. A common pedestrian tracking algorithm
dtree_cart
- 本程序主要实现了cart决策树分类算法，供初学者学习和使用，代码中有样例，运行代码可以得到分类结果。-The program achieved a major cart decision tree classification algorithm, for beginners to learn and use the code in the sample, run the code can be obtained classification result.
decision-tree
- 二叉决策树能很好地运行，适合初学者,希望能帮助大家更好地学习算法-Binary decision tree can run well, suitable for beginnersHope I can help you better learning algorithm
mininv_Matlab_prepared
- 用matlab编写的CART数据挖掘决策树算法 很好的 可以-Matlab prepared by the CART decision tree data mining algorithm is very good
algorithmlltorithmCART
- 用matlab编写的CART数据挖掘决策树算法 很好的 可以-Matlab prepared by the CART decision tree data mining algorithm is very good
SKRO
- 用matlab编写的CART数据挖掘决策树算法 很好的 可以-Matlab prepared by the CART decision tree data mining algorithm is very good
VFOI
- 用matlab编写的CART数据挖掘决策树算法 很好的 可以(Matlab prepared by the CART decision tree data mining algorithm is very good)
zplbsd59
- vc++下的决策树cart算法,最为经典的算法之一,()
esdf
- 决策树 cart 二叉树代码,简要算法与说明()