Hi,
I've come across the preprint on hierarchical clustering (https://arxiv.org/abs/2106.05610), and this method looks seems to be exactly what I need.
I managed to install the gbbs library using bazel and also to run HierarchicalAgglomerativeClustering using the python bindings, but only for single and complete linkage.
from HAC_api.h in benchmarks/Clustering/SeqHAC it looks like these are the only ones exported to the API, but an earlier commit (1ecf43c) used to have the other methods in there. I failed to successfully use the library on that commit, though, because graph input and output changed and HierarchicalAgglomerativeClustering is not available as method.
I also did not manage to include the other linkage options in HAC_api.h, apparently because the call signatures changed somewhat in between.
is there a way to make average linkage clustering available via python bindings, or alternatively from the command line? I did not understand how to run the clustering this way.
any help would be greatly appreciated!
Thanks!
Hi,
I've come across the preprint on hierarchical clustering (https://arxiv.org/abs/2106.05610), and this method looks seems to be exactly what I need.
I managed to install the
gbbslibrary using bazel and also to runHierarchicalAgglomerativeClusteringusing the python bindings, but only forsingleandcompletelinkage.from
HAC_api.hinbenchmarks/Clustering/SeqHACit looks like these are the only ones exported to the API, but an earlier commit (1ecf43c) used to have the other methods in there. I failed to successfully use the library on that commit, though, because graph input and output changed andHierarchicalAgglomerativeClusteringis not available as method.I also did not manage to include the other linkage options in
HAC_api.h, apparently because the call signatures changed somewhat in between.is there a way to make average linkage clustering available via python bindings, or alternatively from the command line? I did not understand how to run the clustering this way.
any help would be greatly appreciated!
Thanks!