INVESTIGADORES
MILONE Diego Humberto
congresos y reuniones científicas
Título:
Consensus clustering from heterogeneous measures of S. Lycopersicum
Autor/es:
PIVIDORI, M; STEGMAYER, G.; CARRARI, F.; MILONE, D. H.
Lugar:
Rosario
Reunión:
Congreso; 4to. Congreso Argentino de Bioinformática y Biología Computacional (4CAB2C); 2013
Institución organizadora:
Sociedad Iberoamericana de Bioinformática
Resumen:
In this work, a new method based on groups of solutions for consensus clustering is proposed. It consists in two steps. In the first one, for each data source, clustering solutions are generated using the k-means algorithm (KM) and varying k, the number of clusters. In the second step, this heterogeneous information is combined into a single clustering solution by using a supra-consensus function, which tries to use as much information from each source as possible.
