There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
In this paper we thoroughly discuss design and implementation issues for semantic search and navigation to ontology-based metrics and indicators metadata. These semantic search and...
Abstract. The many approaches which have been proposed in the literature for proving the correctness of unfold/fold program transformations, consist in associating suitable well-fo...
Alberto Pettorossi, Maurizio Proietti, Valerio Sen...
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
A general feature of the cerebral cortex is its massive interconnectivity-ithas been estimatedanatomically 15 that cortical neurons receive on the order of 10,000 synapses, the ma...