A package for combining multiple partitions into a consolidated clustering. The combinatorial optimization problem of obtaining such a consensus clustering is reformulated in terms of approximation algorithms for graph or hyper-graph partitioning.
Hello!I want to get each labels results of the samples with CSPA,HGPA,MCLA. I try to do like this as an example:
import numpy as np
import Cluster_Ensembles as CE
cluster_runs = np.random.randint(0, 8, (11, 50))
CSPA_clustering_labels = CE.CSPA(hdf5_file_name,cluster_runs, verbose = True, N_clusters_max = 8)
print CSPA_clustering_labels
But I don't know how to set the first Parameter(hdf5_file_name),because I don't have a hdf5_file.Could you give me the answer of above example?I am really newer in python.
Thanks a lot.I'm looking forward to your help.
Hello!I want to get each labels results of the samples with CSPA,HGPA,MCLA. I try to do like this as an example:
But I don't know how to set the first Parameter(hdf5_file_name),because I don't have a hdf5_file.Could you give me the answer of above example?I am really newer in python. Thanks a lot.I'm looking forward to your help.