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GGiecold-zz / Cluster_Ensembles

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.
MIT License
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HGPA can not work #11

Closed stshi8808 closed 7 years ago

stshi8808 commented 7 years ago

These days I tried to use Cluster_Ensembles package to do my paper. 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
import tables
cluster_runs = np.random.randint(0, 8, (15, 150))
hdf5_file_name = './Cluster_Ensembles.h5'
fileh = tables.open_file(hdf5_file_name, 'w')
fileh.create_group(fileh.root, 'consensus_group')
fileh.close()
hypergraph_adjacency = CE.build_hypergraph_adjacency(cluster_runs)
CE.store_hypergraph_adjacency(hypergraph_adjacency, hdf5_file_name)
consensus_clustering_labels = CE.HGPA(hdf5_file_name,cluster_runs, verbose = True, N_clusters_max = 8)

But there is an error:IOError: [Errno 2] No such file or directory: 'wgraph_HGPA.part.4' But the MCLA and CSPA are available to get the result,only HGPA can't work.Can you help me?