Hierarchical clustering methods are important in many data mining and pattern recognition tasks. In this paper we present an efficient coarse grained parallel algorithm for Single...
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
Often a rule-based system is tested by checking its performance on a number of test cases with known solutions, modifying the system until it gives the correct results for all or ...
– This paper analyses the results obtained when different topologies of 1-Dimensional Kohonen Networks where used to classify color pictures taken to Popocatépetl Volcano (locat...
Abstract: Ranking is a ubiquitous requirement whenever we confront a large collection of atomic or interrelated artifacts. This paper elaborates on this issue for the case of RDF s...