The Dendritic Cell Algorithm (DCA) is an immune-inspired algorithm, developed for the purpose of anomaly detection. The algorithm performs multi-sensor data fusion and correlation ...
Abstract. Semi-supervised clustering models, that incorporate user provided constraints to yield meaningful clusters, have recently become a popular area of research. In this paper...
The Cell Formation Problem is a crucial component of a cell production design in a manufacturing system. This problem consists of a set of product parts to be manufactured in a gr...
Andres Pailla, Athila R. Trindade, Victor Parada, ...
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Abstract-- This paper introduces a generalization of the Gravitational Clustering Algorithm proposed by Gomez et all in [1]. First, it is extended in such a way that not only the G...