This package is implementing the method on Neural Computing and Applications paper: Scalable Multi-view Clustering with Graph Filtering. Please contact Zkang@uestc.edu.cn if you have any questions.
The DBLP dataset used in the paper can be download here Google Driver. The required data files should be put into dataset/ folder.
run_smc_dblp.m : We provide a demo for DBLP dataset. If you want to change the default configuration, you can edit this file including dataset, adaptive filter parameter, number of anchors and so on.
node_sampling_dblp.m and lower_bound: These files are used for important node sampling.
lmv.m : This file includes multi view subspace clustering.
ClusteringMeasure : This function measures the performance of SMC with 4 indicators -- Accuracy, F1, NMI and ARI.
litekmeans : Perform K-Means clustering.
mySVD : Perform singular value decomposition.
dataset(dir) : Directory for datasets.