https://github.com/barahona-research-group/graphbasedclustering
Multiresolution clustering of data using geometric graphs --- Code from "Graph-based data clustering via multiscale community detection" by Z Liu and M Barahona, Applied Network Science, 5 (3) (2020). See also: https://wwwf.imperial.ac.uk/~mpbara/Partition_Stability/
https://github.com/barahona-research-group/graphbasedclustering
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Multiresolution clustering of data using geometric graphs --- Code from "Graph-based data clustering via multiscale community detection" by Z Liu and M Barahona, Applied Network Science, 5 (3) (2020). See also: https://wwwf.imperial.ac.uk/~mpbara/Partition_Stability/
Basic Info
- Host: GitHub
- Owner: barahona-research-group
- License: gpl-3.0
- Language: Common Lisp
- Default Branch: master
- Homepage: https://appliednetsci.springeropen.com/articles/10.1007/s41109-019-0248-7
- Size: 901 KB
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https://github.com/barahona-research-group/GraphBasedClustering/blob/master/
# GraphBasedClustering Multiscale graph-based clustering via Markov Stability ================ Zijing Liu Introduction ------------ This contains the MATLAB codes for the paper "Graph-based data clustering via multiscale community detection" by Zijing Liu and Mauricio Barahona, published in Appl Netw Sci 5, 3 (2020). Starting from data points, described as feature vectors, the method produces different geometric graphs and applies multiscale community detection (Markov Stability) to find graph partitions at different levels of resolution, which correspond to clusterings into different numbers of clusters. The graph-based clustering via Markov Stability uses the code in https://wwwf.imperial.ac.uk/~mpbara/Partition_Stability/ , also deposited in https://github.com/michaelschaub/PartitionStability For an illustration, have a look at the notebook [MarkovStabilityClustering.ipynb](https://github.com/barahona-research-group/GraphBasedClustering/blob/master/MarkovStabilityClustering.ipynb) * script_clustering_paper.m - the example file for running the framework, same as the notebook. * test_graph_build.m - test different graph constructions. * othercompare.m - clustering using other methods. * matlab/ - Matlab codes for graph construction, Markov Stability and two spectral clustering methods. * Data/ - public and generated datasets. Citation -------- Liu, Z., Barahona, M. Graph-based data clustering via multiscale community detection. Appl Netw Sci 5, 3 (2020) https://doi.org/10.1007/s41109-019-0248-7
Owner
- Name: Barahona Research - Applied Math - Imperial
- Login: barahona-research-group
- Kind: organization
- Email: m.barahona@imperial.ac.uk
- Website: https://scholar.google.co.uk/citations?user=weulBoAAAAAJ&hl=en
- Repositories: 9
- Profile: https://github.com/barahona-research-group
Research codes developed in the Barahona research group - Department of Mathematics - Imperial College London