搜索资源列表
btdcw
- Rapid expansion of random spanning tree algorithm, For time-frequency analysis algorithm, Realization of 10 digital audio recognition progra.
id3
- 这个是ID3决策树算法的MATLAB代码，主要用于数据分类。(classification of data.)
MSTSaliency-mex
- 基于最小生成树实现的显著性目标实时检测，是文章Real-Time Salient Object Detection with a Minimum Spanning Tree的源码(The real-time detection of salient target minimum spanning tree based on Real-Time Salient Object Detection is the with a Minimum Spanning Tree source code)
IJ1185
- 小波包分解（wavelet packet decomposition）也可称为小波包（wavelet packet）或子带树（subband tree）及最佳子带树结构（optimal subband tree structuring）。其概念是用分析树来表示小波包，即利用多次叠代的小波转换分析输入讯号的细节部分。本案例主要用于小波包分解计算及绘图(The wavelet packet decomposition can also be called the wavelet packet or
CART
- 决策树CART算法源代码，可利用，包括make_tree和use_tree(the code of decision tree CART algorithm including make_tree and use_tree)
RRT
- 快速扩展随机树（rrt）基本算法的实现，222222222222(The Implementation of the basic algorithm of fast spread random tree (RRT))
waveletcode
- 小波变换，双树复小波，小波和复小波的图像阈值去噪(Wavelet transform, double tree complex wavelet, wavelet and complex wavelet image deniosing)
A01_fittree_csi_mt
- 有一个多分类的demo，运用决策树解决多分类问题，(Using decision tree to solve multi classification problem)
bitree
- 判断一棵树是否为二叉树。是数据结构学习阶段的基础算法。(Judge whether a tree is a binary tree.)
独立性T检验
- 决策树4.5 不含剪枝 详细标准 emmm不要下载！！不要下载！！不要下载！！(Decision Tree 4.5 No Pruning Callout Details)
Image compression using zero tree wavelet
- Image compression is a hot topic in data compression schemes. The above MATLAB codes includes technique for compressing an image with Zero Tree Wavelet Algorithm. It is a different approach than traditional ones. GUI is also included along with the m
离散优化
- % 离散优化 % *enum - 枚举法 % *monte - 蒙特卡洛法 % *lpint (BranchBound)- 线性整数规划 % *L01p_e - 0-1整数规划枚举法 % *L01p_ie - 0-1整数规划隐枚举法 % *bnb18 - 非线性整数规划(在MATLAB5.3使用) % *bnbgui - 非线性整数规划图形工具(在MATLAB5.3使用) % *mintreek - 最小生成树kruskal算法 % *minroute - 最短路dijkstr
huffman.m
- 绘制哈弗曼树，输入数组以及其权值，最后绘制的树每个节点都有其相应的数据(Draw huffman tree, input data and draw the huffman tree.)
MATLAB
- 本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related the
whmt
- 用于图像去噪的代码，有模型去噪、双树复小波去噪，希望有帮助。(Code for image denoising, a denoising model dual tree complex wavelet denoising, hope to have help。)
matlab
- 关于深度学习的训练代码，适合比较初等的训练练习，关于不同机器学习模型的搭建(THE MACHINE LEARNING PRACTICE FOR COURSERA SECTION. CODING STUFF OF OPTIMIZATION, DECISION TREE AND OTHERS)
shengjing
- 神经网络BP，随机森林，决策树，遗传算法等 数苑炼金网课文件，详细代码注解(Neural Network BP, Random Forest, Decision Tree, Genetic Algorithms, etc. Course Documents of Shuyuan Alchemy Network, Detailed Code Annotations)
最小生成树Prim算法
- 最小生成树Prim算法的matlab实现，直接解压就OK(Matlab implementation of minimum spanning tree prim algorithm)
C4.5
- 使用matlab实现C4.5决策树算法核心(Implementing the Core of C4.5 Decision Tree Algorithms with MATLAB)
matlab-rrt-variants
- 使用rrt随机决策树进行3d路径规划，效果很好(3-D Path Planning Using Random Decision Tree)