Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Performance-portable geometric search library

Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R

A Fast Parallel Algorithm for HDBSCAN* Clustering

Fast and Efficient Implementation of HDBSCAN in C++ using STL

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

HDBSCAN Tuning for BERTopic Models

HDBSCAN in C#

Visualization of many Clustering Algorithms, via Notebook or GUI

Text clustering: HDBSCAN is probably all you need.

Optimize clustering labels using Silhouette Score.

NLP on Korean news articles. Automatic topic extraction through dynamic clustering.

Data Mining project 2020/2021 @ University of Pisa

Offline and online (i.e., real-time) annotated clustering methods for text data.

NeuralMap is a data analysis tool based on Self-Organizing Maps

Density-Based Clustering Validation

Regression, Classification, Clustering, Dimension-reduction, Anomaly detection