Some tips to use this package code: 1. Open run.m to run RMCLES. 2. You can replace the dataset in the experiment as you want. The tunable parameters about different datasets are listed as follows: 1.yale d=30 , alpha=0.8 ,beta=0.7 ,gamma=0.004, K= tanh(2*(H'*H)) 2.MSRC d=70 , alpha=8 ,beta=1.5 ,gamma=0.004, K= tanh(2*(H'*H)) 3.ORL d=50 , alpha=0.8 ,beta=1 ,gamma=0.004, K= tanh(2*(H'*H)) 4.Notting-Hill d=40 , alpha=5 ,beta=4 ,gamma=0.004, K= tanh(2*(H'*H)) 5.UCI d=50 , alpha=2 ,beta= 9,gamma=0.004, K= tanh(1*(H'*H)) 6.BBCSport d=40 , alpha=0.8 ,beta=2 ,gamma=0.004, K= tanh(2*(H'*H)) 7.WebKB-Texas d=70 , alpha=0.8 ,beta=6 ,gamma=0.004, K= tanh(2*(H'*H)) 8.3Sourses d= 20, alpha=0.8 ,beta=6 ,gamma=0.004, K= tanh(2*(H'*H)) 9.Reuters d= 70, alpha=6 ,beta=0.8 ,gamma=0.004, K= tanh(1*(H'*H)+1) 10.Citeseer d=60 , alpha=6 ,beta=0.1 ,gamma=0.004, K= tanh(1*(H'*H)+1) References: "Relaxed Multi-view Clustering in Latent Embedding Space" Written by: Mansheng Chen, chenmsh27@mail2.sysu.edu.cn 2020-10-20