OSCAR
Set Parameters and Data for Algorithm Tight Clustering
Parameter
Desc
Min
Max
Set Value
seqNum
the number of subsequent k_0 that finds the tight cluster
0
100
npass
number of different random inital for K-means
1
100
subSampPercnt
percentage of subsamples selected
0
1
targetClustNum
the total number of clusters that the user aims to find
1
100
resampNum
total number of resampling to obtain comembership matrix
1
100
min_k
the starting point of k_0. It should be larger than targetClustNum+10. The larger min_k will find smaller and tighter clusters.
10
110
topNum
the number of top (size) candidate clusters for a specific k_0
0
100
beta
the threshold of clusters stably found in consecutive k_0
0
1
alpha
the threshold of comembership index
0
1
max_k
the ending point of k_0. It should be larger than min_k
11
111
Parameter
Desc
Sample File
Upload File
dataFile
The microarray data file
ColonCancerTF.txt
File size should be less than 2MBytes