GitHub

Text clustering: HDBSCAN is probably all you need

Segment common items in a text dataset to pinpoint core themes and their distribution. Figure 1. HDBSCAN splits the 153 text to text prompts from fka/awesome-chatgpt-prompts into two clusters: Cluster ...
IEEE

Clustering-Based Frequent Pattern Mining Framework for Solving Cold-Start Problem in Recommender Systems

Abstract: Recommender systems (RS) are substantial for online shopping or digital content services. However, due to some data characteristics or insufficient historical data, may encounter ...
GitHub

MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation

Given an RGB-D scan and a reconstructed point cloud, MaskClustering leverages multi-view verification to merge 2D instance masks in each frame into 3D instances, achieving strong zero-shot ...
IEEE

Linkage Criteria for Agglomerative Clustering Based on Counterfactual Distances

Abstract: Agglomerative clustering is a widely used hierarchical clustering method that relies on linkage criteria (quantifying cluster separation) to iteratively merge the closest clusters each time.