Dimensionality Reduction for Classification through Visualisation Using L1SNE

Lennon Cook, Junbin Gao

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationAustralian Joint Conference on Artificial Intelligence
EditorsJiuyong Li
Place of PublicationGermany
Number of pages9
Publication statusPublished - 2010
EventAI 2010 23rd conference - Adelaide, SA, Australia
Duration: 07 Dec 201010 Dec 2010


ConferenceAI 2010 23rd conference

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