Home Help
OSCAR
Set Parameters and Data for Algorithm Tight Clustering
ParameterDescMinMaxSet Value
seqNumthe number of subsequent k_0 that finds the tight cluster0100  
npassnumber of different random inital for K-means1100  
subSampPercntpercentage of subsamples selected01  
targetClustNumthe total number of clusters that the user aims to find1100  
resampNumtotal number of resampling to obtain comembership matrix1100  
min_kthe starting point of k_0. It should be larger than targetClustNum+10. The larger min_k will find smaller and tighter clusters.10110  
topNum the number of top (size) candidate clusters for a specific k_00100  
betathe threshold of clusters stably found in consecutive k_001  
alphathe threshold of comembership index01  
max_kthe ending point of k_0. It should be larger than min_k11111  
ParameterDescSample FileUpload File
dataFileThe microarray data fileColonCancerTF.txt
File size should be less than 2MBytes