Obtaining a Parametric Mapping for Dimensionality Reduction by using t-SNE in a Regularized Autoencoder Network

Additional Metadata
Keywords	Machine learning; dimensionality reduction; neural networks; data visualization
Thesis Advisor	Groenen, P.J.F.
Persistent URL	hdl.handle.net/2105/53375
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Lam, S.K.L. (2020, November 13). Obtaining a Parametric Mapping for Dimensionality Reduction by using t-SNE in a Regularized Autoencoder Network. Econometrie. Retrieved from http://hdl.handle.net/2105/53375

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