Semi-supervised clustering using similarity neural networks
Neural Networks, IEEE - INNS - ENNS International Joint Conference on
By Stefano Melacci, Marco Maggini, Lorenzo Sarti
Issue Date:June 2009
Similarity Neural Networks (SNNs) are a novel neural network model designed to learn similarity measures for pairs of patterns, exploiting binary supervision. SNNs guarantee to compute non negative and symmetric measures, and show good generalization capab...