We present a probabilistic model for clustering of objects represented via pairwise dissimilarities. We propose that even if an underlying vectorial representation exists, it is b...
Julia E. Vogt, Sandhya Prabhakaran, Thomas J. Fuch...
We propose a new method to group partials produced by each instrument of a polyphonic audio mixture. This method works for pitched and harmonic instruments and is specially adapte...
This paper presents two new mathematical formulations for the Point-Feature Cartographic Label Placement Problem (PFCLP ) and a new Lagrangean relaxation with clusters (LagClus) t...
Glaydston Mattos Ribeiro, Luiz Antonio Nogueira Lo...
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Topic hierarchies are very useful for managing, searching and browsing large repositories of text documents. The hierarchical clustering methods are used to support the constructi...