-
HDBSCAN's outlier score computation algorithm,[ GLOSH (Global-Local Outlier Score from Hierarchies)](https://dl.acm.org/doi/10.1145/2733381), seems to be a great addition, as we are interested in flat…
-
**Is your feature request related to a problem? Please describe.**
I am currently working with a dataset consisting of 20,000 sequences, and I need to perform distance-based clustering on these seq…
-
It would nice to support other clustering methods than HDBSCAN in the process. Some commonly used methods include:
- k-means
- GMM (Guassian Mixture Models)
- [EVOC](https://github.com/TutteInstitu…
-
Dear HDBSCAN developpers,
I'm a physicist using the HDBSCAN algorithm to analyze experimental results (I'm therefore not specialized in clustering!). It works quite well on my data, but I have the …
-
When dealing with large datasets and memory constraints, one popular clustering algorithm that can be effective is the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm. D…
-
Sometimes we do not have point representations in space but rather only distances between those points.
Therefore it would be great if some algorithms (I'm especially interested in HDBSCAN and Agglo…
-
**Ask the question**
Is it possible to export HDBSCAN model via ONNX? No such functionality exists in Python as far as I am aware.
**Is your question about a specific ML algorithm or approach?**
…
-
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 bett…
-
I am trying to cluster 3d points using HDBSCAN. However, in one run I get different clustering result from another run on the same set of points. I want to get consistent results.
As you see in the…
-
Hello! I have been using the codes recently to analyze text. Yet, I encounter an error when executing the "tutorial_french" file. I have already tried with different versions of Python, but the error …