title: Automated labeling for unsupervised neural networks: a hierarchical approach.
abstract: In this paper a hybrid system and a hierarchical neural-net approaches are proposed to solve the automatic labeling problem for unsupervised clustering. The first method consists in the application of nonneural clustering algorithms directly to the output of a neural net; the second one is based on a multilayer organization of neural units. Both methods are a substantial improvement with respect to the most important unsupervised neural algorithms existing in literature. Experimental results are shown to illustrate clustering performance of the systems.
authors.forename: R
authors.initials: R
authors.lastname: Tagliaferri
authors.forename: N
authors.initials: N
authors.lastname: Capuano
authors.forename: G
authors.initials: G
authors.lastname: Gargiulo