Publications
| 2014 |
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| Unsupervised relevance analysis for feature extraction and selection: A distance-based approach for feature relevance Diego H. Peluffo, John A. Lee , Michel Verleysen, José L. Rodríguez and Germán Castellanos-Domínguez International conference on pattern recognition, applications and methods - ICPRAM 2014 See abstract See full paper |
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| Recent methods for dimensionality reduction: A brief comparative analysis Diego H. Peluffo-Ordóñez, John A. Lee, and Michel Verleysen European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN 2014 See abstract See full paper |
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| Short review of dimensionality reduction methods based on stochastic neighbour embedding Diego H. Peluffo-Ordóñez, John A. Lee, and Michel Verleysen Workshop on Self-Organizing Maps - WSOM 2014 See abstract See full paper See poster Multi-scale stochastic neighbor embedding: Towards parameter-free dimensionality reduction John A. Lee, Diego H. Peluffo-Ordóñez, and Michel Verleysen European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN 2014 See abstract See full paper See slides |
| 2013 |
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| Type 1 and 2 mixtures of Kullback–Leibler divergences as cost functions in dimensionality reduction based on similarity preservation John A. Lee, Emilie Renard, Guillaume Bernard, Pierre Dupont, Michel Verleysen Neurocomputing 112 (2013) 92–108 See abstract See full paper |
| 2009 |
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| Quality assessment of dimensionality reduction: Rank-based criteria John A. Lee , Michel Verleysen Neurocomputing 72 (2009) 1431–1443 See abstract See full paper |