R libraries required:
1. Matrix
2. data.table
3. pracma
4. SparseM


Please follow the following intructions on the terminal/console:
1. tar -xf digid.tar.gz
2. chmod +x mv_kernel_learning.out


The different parameters to the DiGId algorithm are:
1. Number of views
2. Path to individual views (Affinity networks having size n*n)
3. Path to Output Directory
4. Number of cluster indicator vectors
5. alpha (fixed at 0.1)
6. beta, and
7. gamma.


Example:
./mkljic.out 2 VIEW1.txt VIEW2.txt OUTPUT_DIRECTORY 20 0.1 0.01 0.5