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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10(1)
Communications in Computer and Information Science(1)
Computer Methods and Programs in Biomedicine(1)
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009(1)
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scopus(6)
Automatic motion segmentation via a cumulative kernel representation and spectral clustering
Conference ObjectAbstract: Dynamic or time-varying data analysis is of great interest in emerging and challenging research on aPalabras claves:Kernel spectral clustering, Motion segmentation, Time-varying data, Variable rankingAutores:Ana C. Umaquinga-Criollo, Diego Hernán Peluffo-Ordóñez, Luis Suárez-Zambrano, O. T. Sánchez-Manosalvas, Omar R. Oña-Rocha, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusDevelopments on solutions of the normalized-cut-clustering problem without eigenvectors
Conference ObjectAbstract: Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis.Palabras claves:Eigenvectors, Graph-based clustering, Normalized cut clustering, Quadratic formsAutores:A. E. Castro-Ospina, Diego Hernán Peluffo-Ordóñez, Israel D. Herrera-Granda, K. L. Ponce-Guevara, Leandro L. Lorente-Leyva, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusTwo novel clustering performance measures based on coherence and relative assignments of clusters
Conference ObjectAbstract: This work proposes two novel alternatives for dealing with the highly important issue of the clusterPalabras claves:Cluster coherence, Clustering, Graph-partitioning, probabilities, Relative frequenciesAutores:A. E. Castro-Ospina, Areiza-Laverde H.J., Diego Hernán Peluffo-Ordóñez, Miguel A. Becerra, Paul D. Rosero-Montalvo, Rodríguez-Sotelo J.L.Fuentes:scopusUnsupervised feature relevance analysis applied to improve ECG heartbeat clustering
ArticleAbstract: The computer-assisted analysis of biomedical records has become an essential tool in clinical settinPalabras claves:Electrocardiogram analysis, feature selection, Heartbeat classification, Q-α algorithm, Relevance analysisAutores:Castellanos-Dominguez G., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusUnsupervised feature selection in cardiac arrhythmias analysis
Conference ObjectAbstract: The problem of detecting clinical events related to cardiac arrhythmias in long term electrocardiogrPalabras claves:Autores:Castellanos-Dominguez G., Cuesta-Frau D., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopusWeighted-PCA for unsupervised classification of cardiac arrhythmias
Conference ObjectAbstract: A method that improves the feature selection stage for non-supervised analysis of Holter ECG signalsPalabras claves:Autores:Castellanos-Dominguez G., Cuesta-Frau D., Delgadotrejos E., Diego Hernán Peluffo-Ordóñez, Rodríguez-Sotelo J.L.Fuentes:scopus