Multiple-Co-clustering-master

说明：  该算法采用如下共聚类结构进行多重聚类： 1.优化地将数据集划分为多个视图。在每个视图中，对象和特征都是群集的。 2.同时分析了三类特征：高斯特征、泊松特征和范畴特征。 3.自动推断视图和簇的数量。(This algorithm carries out multiple-clustering with co-clustering structures as follows: 1.Optimally divides datasets into several views. In each view, both objects and features are clustered. 2.Simultaneously analyzes three types of features: Gaussian, Poisson and categorical features. 3.Automatically infers the number of views and clusters.)

Multiple-Co-clustering-master, 0 , 2018-03-27
Multiple-Co-clustering-master\Example1.m, 1300 , 2018-03-27
Multiple-Co-clustering-master\Example2.m, 1786 , 2018-03-27
Multiple-Co-clustering-master\README.md, 3143 , 2018-03-27
Multiple-Co-clustering-master\Xg.mat, 57648 , 2018-03-27
Multiple-Co-clustering-master\coreVBCCGaussS.m, 18389 , 2018-03-27
Multiple-Co-clustering-master\objectcluster1.mat, 267 , 2018-03-27
Multiple-Co-clustering-master\objectcluster2.mat, 200 , 2018-03-27
Multiple-Co-clustering-master\randClassMatrix.m, 224 , 2018-03-27
Multiple-Co-clustering-master\runVBCCGaussS.m, 7461 , 2018-03-27
Multiple-Co-clustering-master\setVBCCGauss.m, 1164 , 2018-03-27
Multiple-Co-clustering-master\summaryModel.m, 1475 , 2018-03-27