搜索资源列表
tree
- 用于模式识别的MATLAB源代码,准确性高,比较好用.
tree
- 数据挖掘里的判定树算法，用matlab编写。
C4_5.rar
- 决策树C45，用matlab编写的，数据挖掘算法。,Decision Tree C45, prepared by matlab, data mining algorithms.
decision_tree_cart.rar
- 决策树cart，用matlab编写的，数据挖掘算法。,Decision tree cart, prepared using matlab, data mining algorithms.
code.zip
- 行程编码的matlab实现。编码后的图像存储在变量E中,该变量是一个三纬树组,前两纬表示起始像素的横、纵坐标，第三纬表示该行程的颜色值。,Matlab coding realize itinerary. Encoded image is stored in the variable E, the variable is a three-wai Tree Group, the former two-wai express start pixel horizontal, vertical coord
the_tree.rar
- matlab实现的最小生成树的两种最基本的算法即Kruskal，Prim。,matlab realization of the minimum spanning tree algorithm that is, the two most basic Kruskal, Prim.
matlab-C4
- 该源代码主要实现C4.5决策树算法，C4.5是对ID3算法的一种改进，它完善了ID3算法，补充了其算法的一点不足-The source code is the main achievement of C4.5 decision tree algorithm, C4.5 is an improved ID3 algorithm, which improved the ID3 algorithm, the algorithm added a little less than its
EZW算法的过程详解和Matlab代码
- EZW算法的过程详解和Matlab代码（1）构建扫描次序表（修正小波树结构）写出EZW算法的Matlab程序，可以实现图像的任意级别的小波分解和重构、以及任意精度的EZW编解码过程。下面，我们以一幅16*16的Lena局部图像经过3级小波分解后的小波数据为例详细的说明EZW算法的编解码过程，并给出相应的Matlab代码。-Explain the process of EZW algorithm and Matlab code (1) building a scan list (Amendment
matlab
- 决策树C4.5和CART算法的m源码 -CART decision tree algorithm C4.5 and the source m
C4_5.m
- his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the poss
CKPCA-HOG-SVM
- 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又决策树支持向量机的运动目标分类算法。-In order to accurately monitor the movement of scene targets semantic classification, the clustering based on kernel principal component analysis of gradient direction histograms,
ID3
- 实现ID3算法，在结果中以树表示出来。决策树是对数据进行分类，以此达到预测的目的。该决策树方法先根据训练集数据形成决策树，如果该树不能对所有对象给出正确的分类，那么选择一些例外加入到训练集数据中，重复该过程一直到形成正确的决策集。-ID3 algorithm to achieve, in the results that come out to the tree. Decision tree is to classify the data, thus achieving the purpose
tree
- 决策树算法的matlab实现，主要适用的是id3 算法思想-Decision Tree Algorithm to achieve the matlab main id3 algorithm is applicable to thinking
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
Prim-minimum-spanning-tree-algorithm
- 最小生成树Prim算法的matlab文件，无论是在数据结构还是在图论中都有广泛的应用-Prim minimum spanning tree algorithm matlab file, whether in data structures or graph theory, there are a wide range of applications
MST_Kruskal
- Implements Minimum Search Tree using Kruskal Algorithm
tree
- 混沌模型的Matlab演示程序，程序是通过迭代运算，形成了一个树叶型的分形结构-Chaos model Matlab demonstration program, the program is through iteration, forming a leaf-shaped fractal structure
ID3(MATLAB)
- 使用MATLAB语言完成的决策树算法。 里面有详细说明-Using the MATLAB language to complete the decision tree algorithm. Details inside
ID3(MATLAB)
- ID3决策树算法，实现不同条件下数据的分类-ID3 decision tree algorithm, the classification of data under different conditions
ypap116-minimum-spanning-tree
- basic code for spanning tree