Learning a Parametric Embedding by Preserving Local Structure Laurens van der Maaten TiCC Tilburg University P
O Box 90153 5000 LE Tilburg The Netherlands lvdmaatengmailcom Abstract The paper presents a new unsupervised dimen sionality reduction technique called paramet ric tSNE that learns a parametric mapping be tween the highdimensional data space and the
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