Automated labeling for unsupervised neural networks: a hierarchical approach

IEEE Trans Neural Netw. 1999;10(1):199-203. doi: 10.1109/72.737509.

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.

Publication types

  • Letter