Dimensionality Reduction for Classification through Visualisation Using L1SNE
نویسندگان
چکیده
Dimensionality Reduction algorithms have wide precedent for use in preprocessing for classification problems. This paper presents a new algorithm, based on a modification to Stochastic Neighbour Embedding and t-Distributed SNE to use the Laplacian distribution instead of, respectively, the Gaussian Distribution and a mismatched pair of the Gaussian Distribution and Student’s t-Distribution. Experimental results are presented to demonstrate that this modification yields improvement.
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تاریخ انتشار 2010