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graph_louvain_clustering's Introduction

graph_louvain_clustering

  • required : python
  • required python packages : numpy, scipy, pandas, igraph, louvain

data_matrix_louvain_clustering_by_k.py

  • usage: python data_matrix_louvain_clustering_by_k.py [data_matrix] [k_of_knn] [target_number_of_clusters] [output_name]

data_matrix_louvain_clustering_by_resolution.py

  • usage: python data_matrix_louvain_clustering_by_k.py [data_matrix] [k_of_knn] [resolution_of_louvain] [output_name]

This scripts will calculate Louvain clustering by taking input data matrix.
Any type of data matrix could be used. Rows will be clustered.
Note that the used louvain algorithm is based on python package implemented by V. Traag (https://github.com/vtraag/louvain-igraph) which is known to be performed best.

graph_louvain_clustering's People

Contributors

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