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22nd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2014 - Proceedings(1)
23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings(1)
Advances in Intelligent Systems and Computing(1)
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scopus(4)
Geometrical homotopy for data visualization
Conference ObjectAbstract: This work presents an approach allowing for an interactive visualization of dimensionality reductionPalabras claves:Autores:Alvarado-PÉrez J.C., Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopusMulti-scale similarities in stochastic neighbour embedding: Reducing dimensionality while preserving both local and global structure
ArticleAbstract: Stochastic neighbour embedding (SNE) and its variants are methods of nonlinear dimensionality reductPalabras claves:Data visualisation, Jensen-Shannon divergence, Manifold learning, Nonlinear dimensionality reduction, Stochastic neighbour embeddingAutores:Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopusShort Review of Dimensionality Reduction Methods Based on Stochastic Neighbour Embedding
Conference ObjectAbstract: Dimensionality reduction methods aimed at preserving the data topology have shown to be suitable forPalabras claves:Dimensionality reduction, divergences, similarity, stochastic neighbor embeddingAutores:Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopusRecent methods for dimensionality reduction: A brief comparative analysis
Conference ObjectAbstract: Dimensionality reduction is a key stage for both the design of a pattern recognition system or dataPalabras claves:Autores:Diego Hernán Peluffo-Ordóñez, Lee J.A., Verleysen M.Fuentes:scopus