@article{_1994c tabouratzis,
author = "Tambouratzis, George and Tambouratzis, D.",
abstract = "This article investigates the behaviour of a self-organising logic neural network when it is tasksd with clustering complex data spaces. The network is based on the discriminator-node structure and is trained using an unsupervised-learning adaptation rule. The network performance is evaluated by applying it to clustering tasks involving identifiable classes, each of which consists of a lrage number of distinct subclasses. The results presented are supported by a statistical analysis, which indicates that the system is indeed suited to clustering such complex datasets.
",
journal = "Network: Computation in Neural Systems",
pages = "599-617",
title = "{S}elf-Organisation in {C}omplex {P}attern {S}paces {U}sing a {L}ogic {N}eural {N}etwork ",
volume = "5",
year = "1994",
}