Assessment of the Effect of Noise on an Unsupervised Feature Selection Method for Generative Topographic Mapping
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[1] P. Deb. Finite Mixture Models , 2008 .
[2] Christopher M. Bishop,et al. Developments of the generative topographic mapping , 1998, Neurocomputing.
[3] A. Vellido,et al. Time Series Relevance Determination Through a Topology-Constrained Hidden Markov Model , 2006, IDEAL.
[4] Christopher M. Bishop,et al. GTM: The Generative Topographic Mapping , 1998, Neural Computation.
[5] Alfredo Vellido Alcacena. Preliminary theoretical results on a feature relevance determination method for Generative Topographic Mapping , 2005 .
[6] Alfredo Vellido,et al. On the benefits for model regularization of a variational formulation of GTM , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).
[7] Paulo J. G. Lisboa,et al. Selective smoothing of the generative topographic mapping , 2003, IEEE Trans. Neural Networks.
[8] Anil K. Jain,et al. Simultaneous feature selection and clustering using mixture models , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[9] Alfredo Vellido,et al. Assessment of an Unsupervised Feature Selection Method for Generative Topographic Mapping , 2006, ICANN.
[10] Paulo J. G. Lisboa,et al. Robust analysis of MRS brain tumour data using t-GTM , 2006, Neurocomputing.