Accelerated Hierarchical Density Clustering
Paper • 1705.07321 • Published
Version: v1 | Trained: 2026-05-21T04:43:38.216279Z | License: CC BY 4.0
Weekly per-domain HDBSCAN drift surface. Variable-density clustering over the last-28-day feature vector for every domain with >=10 measurements. Orthogonal axis to per-country DBSCAN.
| Metric | Value |
|---|---|
algorithm |
HDBSCAN(min_cluster_size=5, metric=euclidean, after StandardScaler) |
min_cluster_size |
5 |
n_domains_this |
27 |
n_clusters_this |
2 |
n_new_clusters |
2 |
n_high_drift_clusters |
0 |
log_navg_block_ratestd_block_raten_countries_blockingasn_unique_logsource_diversitypct_dns_blockpct_tcp_resetpct_blockpagepct_tls_resetpct_isp_outagecat_NEWScat_ANONcat_GRPcat_PORNcat_MSGcat_SRCHcat_OTHERstatus=new_this_week / dropped_this_week instead of a score.@misc{voidly_voidly_anomaly_domain_drift_v1,
title = {Voidly Atlas: voidly-anomaly-domain-drift-v1 (v1)},
author = {Voidly},
year = {2026},
url = {https://huggingface.co/emperor-mew/voidly-anomaly-domain-drift-v1},
note = {Open censorship-research ML stack. CC BY 4.0.}
}
Method foundation: McInnes et al. 2017 — arXiv:1705.07321