搜索资源列表
decision-making-tree-algorithm
- One kind of decision-making tree algorithm, can be seen as one kind data mining algorithm ,find the rule from large-scale data middle.
AprioriANDFPtree.rar
- 实现了数据挖掘算法中关联规则挖掘的Apriori和FP-tree算法，其中FP-tree算法可绘制出FP树，并显示中间结果和最后生成的规则,Apriori and FP-tree in DM
Spanning-tree
- 利用图论中生成树的概念编写的全部生成树代码，由于缺少中间的实数编码遗传算法代码，所以还不能得出完整的结果，但整个程序框架是正确的！-Spanning tree in graph theory using the concept of writing all the spanning tree code, the lack of the middle of the real-coded genetic algorithm code, so it can not come to a complete
c++实现的KNN库:建立高维度的K-d tree
- c++实现的KNN库:建立高维度的K-d tree,实现K邻域搜索，最小半径搜索-K-NN algorithm implementation. It supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions.
CART
- 这是一个分类和回归树算法，它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation.
decision-tree
- 本程序实现了一个决策树生成程序， 决策树学习是应用最广的归纳推理算法之一。这是一种逼近离散值函数的方法，对噪声数据有很好的健壮性且能够学习析取表达式。在这种方法中学习到的函数被表示为一棵决策树。学习得到的决策树也能再被表示多个if-then规则，以提高可读性。本程序附带详细的说明文档-decision tree ID3
NeC45
- NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
decision+tree
- 决策树，很经典，不是一般的经典，你看看吧-Decision tree, it is classic, not an ordinary classic, you take a look at it
DT
- 决策树算法的详细介绍和例子，希望有用-A detailed descr iption of decision tree algorithm and examples, I hope useful
lab
- 基于2叉树svm的入侵检测算法，构造偏态二叉-2-tree SVM-based intrusion detection algorithms, binary structure skewness
Genetic-Algorithm-for-Minimum-SpanningTree
- 使用遗传算法求解最小生成树的编码，C++环境-Genetic Algorithm for Minimum Spanning Tree
apriori
- A program to find association rules and frequent item sets (also closed and maximal) with the apriori algorithm (Agrawal et al. 1993), which carries out a breadth first search on the subset lattice and determines the support of itemsets by subset tes
SVMDecision
- VM分类器通常具有较高的分类精度。我这里不想过多的去说SVM是怎么回事，只是提供一种使用SVM进行判别的方法。决策树与SVM的结合，可以分多类。-VM classifier usually has a higher classification accuracy. I do not want too much here to say how the matter SVM, SVM is used to provide a method for identification. The combin
AGA
- 单点交叉 单点变异 确定式选择法 自适应的遗传算法生成最小树-Adaptive genetic algorithm generates minimum spanning tree
2004070715074225631
- learning decision tree algorithm
J48cv
- 基于决策树的n则交叉验证分类器-based on decision tree cross-validation classifier.....................
Computer-aided-fault-tree-graphics-rendering-algor
- 事故树图形的计算机辅助绘制算法研究Computer-aided fault tree graphics rendering algorithms-Computer-aided fault tree graphics rendering algorithms
decision-tree
- 该算法是数据挖掘中的数据分类算法，通过构造决策树，进而实现对数据的分类。-Data classification, decision tree structure
Fuzzy-Decision-Tree-Algorithms
- Fuzzy Decision Tree Algorithms
decision tree
- 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，评价项目风险，判断其可行性的决策分析方法，是直观运用概率分析的一种图解法。本代码提供生成决策树的算法。(A decision tree is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including c