搜索资源列表
ID3算法
- d3算法源程序。使用的方法是编写一个*.dat文件保存样本数据，还有一个*.tag文件保存属性列名，且最后一个属性是标号属性。运行是输入id3 文件名。
LARS算法
- 包括LARS的经典文章和实现代码（MATLAB）(Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include lasso (Least Absolute Shrinkage and Selection Operat
em
- em算法介绍:EM算法有很多的应用，最广泛的就是GMM混合高斯模型、聚类、HMM等等(This is the EM algorithm using JAVA, easy to understand, easy to use and helpful for understanding the EM algorithm)
退火算法
- 利用退火算法解决最优化问题，如最多带物品的质量为M，每件物品的质量为mi，价格为yi，怎么做才能带走价值最多的物品？(Annealing algorithm to solve the optimization problem, such as the maximum quality of goods with M, the quality of each item is Mi, the price is Yi, how to do to take away the most valuable i
《MATLAB智能算法30个案例》
- matlab智能算法，很适合学习的一本书，里面有相关的算法，稍后会上传对应的案例，很实用化(Matlab intelligent algorithm, very suitable for learning a book, there are related algorithms, later on the corresponding cases, very practical)
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
Clustering-master
- 超级强大的聚类算法+详细的程序说明； Kmeans聚类+ISODATA聚类算法；(Super powerful clustering algorithm + detailed program descr iption; Kmeans clustering +ISODATA clustering algorithm;)
贝叶斯和KNN算法比较——基于Adult数据集
- 朴素贝叶斯算法和KNN算法比较，其中用到的数据集为adults(Comparison of Bias and KNN algorithms)
OMPhellowrold
- 一维信号OMP恢复算法，中文详细注解。可运行(An OMP reconstruction algorithm of compressed sensing)
基于粗糙集信息系统约简的算法matlab实现
- 基于粗糙集信息系统的算法matlabd的实现(Implementation of algorithm matlabd based on rough set information system)
ga-svm
- 用遗传算法优化支持向量回归机C、g、p参数(Optimization of C, G, P parameters of support vector regression machine by genetic algorithm)
基于粗糙集的层次聚类算法研究
- 实现了两种基于粗糙集模型的层次聚类算法，采用java编程语言实现(Hierarchical clustering algorithm for categorical data using a probabilistic rough set model)
局部线性嵌入
- 利用局部线性嵌入算法将高维数据映射到低维空间中，达到降维效果；(The local linear embedding algorithm is used to map the high dimensional data into the low dimensional space to achieve the effect of reducing the dimension.)
FM algorithm
- 因子分解机( FM)算法是一种基于矩阵分解的机器学习算法，是一种常用的推荐算法。(Factorization algorithm is a matrix-based machine learning algorithm, which is a commonly used recommendation algorithm.)
K-means
- 一种聚类算法：K-means聚类，实测绝对没有问题(A clustering algorithm: K-means clustering, no problem is absolutely no problem)
EEMD
- 该算法可自适应地将信号分解成若干单分量信号(The algorithm can adaptively decompose the signal into several single component signals.)
svm
- 该代码实现了经典的SVM支持向量机算法，Python语言编写，产生结果图。(This code implements the classic SVM support vector machine algorithm, Python language, and produces the result graph.)
SSTCA
- 半监督迁移SSTCA算法实现,matlab代码。包括拉普拉斯图矩阵(Semisupervised Domain Adaptation via Transfer Component Analysis)
EM 算法
- 用EM算法求解高斯混合模型并可视化，数据是男女生的身高分布，前提是初始化男女生身高各自的均值和方差和比例，然后由EM算法求解，男女生身高的均值方差，以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, v
数据挖掘各类算法
- apriori、id3、c4.5、fp树等算法的的python实现(Python implementation of apriori, id3, c4.5, FP Tree and other algorithms)