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- K均值聚类算法，对风电机组功率数据进行聚类分析，包括详细的程序说明。 只要把这两个文件放入一个空文件夹下，在MATLAB中执行m文件，就可得到聚类结果。-K-means clustering algorithm, the wind turbine power data clustering analysis, including a detailed descr iption of the procedures. As long as these two files into an empt
kfold-knn.m.tar
- The program k folds the data set and applies K-Nearest Neighbors algorithm to classify the images.
neighborhood-classifier
- 依据Neighborhood classifier编写的.m程序-Metric space Neighborhood Rough set Reduction Classifier Norm
K_Means-algorithm
- very useful matlab code for K_Means Algorithm it can be use after change the given input data or use the original one that i provided with the code you can start by run K_Means_Clustering.m
Newman
- 数据挖掘 社团挖掘 NewMan算法 参考文献：M. E. J. Newman,Fast algorithm for detecting community structure in networks -data Mining, Newman
NaiveBayesClassifier.m
- I use Matlab 2008a which does not support Naive Bayes Classifier. scr ipt supports normal and kernel distributions. Statistics toolbox for 2008a version is used in the scr ipt. Also includes function for confusionmat
GPR
- 利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。-Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.
CARS_Characteristic-band-extraction
- 特征带提取算法，可以很好地提取有用的频带，结果更为准确，CARS_Characteristic带提取.m为主程序，调用程序中的压缩包。-Feature band extraction algorithm, can be a good extraction of useful bands, the results are more accurate, CARS_Characteristic band extraction.m for the main program, call the progr
myKmeans.m
- 模式识别学习中使用matlab编写的Kmeans算法实现的小程序-Learning to use pattern recognition matlab prepared Kmeans algorithm small program
code_BPMF
- 如何使它工作： 1。创建一个单独的目录，并将所有这些文件下载到相同的目录中 2。下载7个文件： *demo:主文件demo:PMF和贝叶斯PMF * PMF.m:训练的PMF模型 * bayespmf.m贝叶斯PMF模型实现吉布斯采样器。 * moviedata.mat样本数据包含三元组（user_id，movie_id，评分） * makematrix.m：辅助功能转换成大型矩阵的三元组。 * PRED.m:辅助功能使得预测验证集。 三.在Matlab只需运
SVD.m
- 利用SVD实现item-based CF: 优点： 简化数据，去除噪声，提高算法的结果 缺点： 数据的转换可能难以理解 适用数据类型： 数值型数据(Svd decomposition plays an important role in the decomposition of eigenvalues of high-dimensional data, while using low-dimensional data for approximate approximation)
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
apcluster.m
- ap算法完成ap聚类操作 需要输入参数为数据集 偏向参数 输出结果为聚类数目(The AP algorithm completes the AP clustering operation, the input parameter is the data set bias parameter, and the output result is the number of clusters)
6475607
- 决策树算法C4 5源码, The directory Data contains some sample datasets M()
pprttimestamping
- 面向AVS—M 的快速帧问预测模式选择算法()
hbuczm5
- 单纯形法算法,int K,M,N,Q 100,Type,Get,Let,Et,Code[50],XB[50],IA,IAA[()
nttwork_card-designphase
- 多模式匹配算法——AC算法 参考文献：AC算法：Aho A V,Corasick M J．Efficient string()
mkylrk4
- lingjian m使用零件初始值,用蒙特卡罗方法算出总费用,其中使用了自己编制的正态分布随机数发生器产生正态分布随机数,l()
rcitime__type
- 二进制粒子群优化算法pso,主程序：swarmpso m 它包括以下子程序： 1 初始化：swarminit m 2 适应值计算函()
rlhust
- 可以进行曲线回归拟合算法的四参数算法,函数为 y (a-d) (1+(x c) b) +d ec50 m 为其主要函数()