搜索资源列表
pca
- pca算法原理介绍和仿真代码，主要用于数据的聚类，代码时用于图像上的聚类过程，聚类效果很好，就是有点慢-pca algorithm introduces the principle and simulation code, mainly for clustering data, a clustering process images on-time code, clustering works well, is a bit slow
Apriro
- java 关联关系分析 apriro算法源代码 很好-java association analysis algorithm source code well apriro
smmc
- SMMC聚类算法，子空间聚类和多流形聚类均好用，线性空间和非线性空间也好用。-SMMC clustering algorithm, subspace clustering and multi manifold clustering are well used, linear space and nonlinear space.
big-data
- 介绍了大数据时代的发展以及大数据与大数据在经济学的应用，还有大数据的安全与隐私保护，网络大数据的现状与展望-It introduced the development of big data and big data era of big data applications and economics, as well as large data security and privacy protection, the current situation and prospect of larg
SVM
- SVM多分类算法的一些程序，有很多种类型，包括经典的四种工具箱，还有代价敏感支持向量机，超球面支持向量机等-Some programs about SVM multi-classification algorithm, there are many types, including the classic four toolbox, as well as the price-sensitive support vector machine, hypersphere support vector
EM
- 对于混合高斯分布的情况，使用最大期望算法，通过不断计算每个样本的均值与方差，使得似然函数达到最大值。可以很好地处理满足一定概率分布的数据。 代码中通过mvnrnd()函数，设定其中的参数，产生符合混合高斯分布的一组数据集。-For the case of a mixed Gaussian distribution, using expectation-maximization algorithm, through continuous calculation of the mean and
58472
- template matching using corr2 function in matlab working very we-template matching using corr2 function in matlab working very well
Kmeans
- 直接输入图片，以及类别数，返回分类结果，聚类中心，跌代次数。-Directly enter the picture, as well as the number of categories, the classification result is returned, the cluster center, down the number of generations.
Apriori
- 带测试的 apriori 做了优化修改,测试文件和源代码，以及整个工程都在里面-apriori test with optimized modification, testing, documentation and source code, as well as the whole project are inside
DataMining
- 基于K-mean以及其他算法的数据挖掘，主要是乳腺癌数据集，附有数据集-Data mining based on K-mean, as well as other algorithms, mainly breast cancer data sets, with data sets
associationRuleMining
- 关联规则挖掘，包括原始数据和处理后的数据，以及挖掘程序和挖掘后的报告-Report association rule mining, including raw data and the processed data, as well as mining and mining program after
lars_1.2.tar
- 稀疏主成分H.Zou文章代码，非常还有。是用R软件编写的-Sparse Principal Component H.Zou article code, very well
BinaryNet-master
- 二值化程序代码，对数据进行很好地优化，实用于图像处理，图像去噪(Two value of the program code, the data is well optimized)
knn
- 模式识别中的k近邻算法，经过测试，运行结果很好。 最小距离分类器 : 它将各类训练样本划分成若干子类，并在 每个子类中确定代表点 。测试样本的类别则以其与这些代表点距离最近作决策。该方法的缺点是所选择的代表点并不一定能很好地代表各类，其后果将使错误率增加。(The k nearest neighbor algorithm in pattern recognition has been tested and the result is very good. Minimum distance c