This paper considers metric the exact dissimilarities between pairs of points are not unknown but known to belong to some interval. The goal is to study methods for the determination of hierarchical ...

This project applies hierarchical clustering to group car models by attributes like horsepower, price, and fuel efficiency. It involves data preprocessing, cluster analysis, and visualization to ...

We propose the Compact Clustering Attention (COCA) layer, an effective building block that introduces a hierarchical strategy for object-centric representation learning, while solving the unsupervised ...