MustaCHE: A Multiple Clustering Hierarchies Explorer
Summary: MustaCHE interactively visualizes multiple HDBSCAN* clustering hierarchies across a broad range of mpts values. It enables comparative exploration of parameter-sensitive cluster structures, mitigating trial-and-error selection and missed clusters. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Antonio Cavalcante Araujo Neto (University of Alberta)
- 2. Mario A. Nascimento (University of Alberta)
- 3. Joerg Sander (University of Alberta)
- 4. Ricardo J. G. B. Campello (James Cook University)
BibTeX Citation
@article{neto_vldb18,
title = {{MustaCHE: A Multiple Clustering Hierarchies Explorer}},
author = {Neto, Antonio Cavalcante Araujo and Nascimento, Mario A. and Sander, Joerg and Campello, Ricardo J. G. B.},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {12},
pages = {2058--2061},
doi = {10.14778/3229863.3236259},
url = {https://doi.org/10.14778/3229863.3236259},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 291 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00022264197 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,392 | Multi-Structural Databases | 2005 | PODS |
| 2 | 8,342 | DBChEx: Interactive Exploration of Data and Schema Change | 2019 | CIDR |
| 3 | 11,581 | ParChain: A Framework for Parallel Hierarchical Agglomerative Clustering using Nearest-Neighbor Chain | 2022 | VLDB |
| 4 | 13,718 | CoDA: Interactive Cluster Based Concept Discovery | 2010 | VLDB |
| 5 | 291 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD |
| 6 | 10,271 | MUFASA: Fast and Accurate Multivariate Time-Series Clustering | 2026 | SIGMOD |
| 7 | 11,675 | Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering* | 2021 | SIGMOD |
| 8 | 10,718 | Demonstrating MAST: An Efficient System for Point Cloud Data Analytics | 2025 | SIGMOD |
| 9 | 11,498 | SHEVA: A Visual Analytics System for Statistical Hypothesis Exploration | 2023 | VLDB |
| 10 | 13,965 | HD-Eye: Visual Clustering of High Dimensional Data | 2002 | SIGMOD |