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I want to know the specific parameter settings for HDBSCAN clustering algorithm

Open jinx-USTC opened this issue 5 years ago • 1 comments

As your paper demonstrated, HDBSCAN clustering method outperforms DBSCAN, but when I use the commonly-used DBSCAN (from sklearn.cluster import DBSCAN) for clustering, I found that DBSCAN performs better than HDBSCAN (pip install HDBSCAN). I think maybe the specific parameters setting for HDBSCAN is vital, so I want to know the details of parameters setting about HDBSCAN in your paper, eg, min_cluster_size=?, min_samples=? (your paper use 10), metric='precomputed'...

jinx-USTC avatar Dec 06 '19 04:12 jinx-USTC

@jinx-USTC We just set the min_samples=10, metric='precomputed', and other parameters are the same as the default values.

zhangxinyu-xyz avatar Dec 06 '19 04:12 zhangxinyu-xyz