qSNE - Quadratic rate t-SNE optimizer with automatic parameter tuning

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dc.contributor.affiliationUniversity of Helsinki-Koiranen, Juha
dc.contributor.authorKoiranen, Juha
dc.date.accessioned2025-04-29T14:07:25Z
dc.date.issued2020-06-04
dc.date.issued2020-06-04
dc.descriptionqSNE is a t-SNE implementation with potentially quadratic converge rate (vs. linear) and automatic perplexity tuning. The implementation solves the exact original t-SNE problem and not an approximate version. Major features: A quasi-Newton optimizer which allows quadratic vs. linear rate of converge and, consequently, gives a similar result in e.g. √1000 ~ 30 iterations versus 1000 A perplexity range instead of a fixed value can be specific, in which case the perplexity is automatically optimized Fully supports Intel SSE and AVX (optional) and POSIX threads for parallelization For the details about the method, please refer to our publication on the matter.
dc.identifierhttps://doi.org/10.5281/zenodo.3981143
dc.identifier.urihttps://datakatalogi.helsinki.fi/handle/123456789/6737
dc.rights.licensebsd-2-clause-netbsd
dc.subjectmultivariate analysis
dc.subjectdimensionality reduction
dc.subjectstochastic neighbor embedding
dc.subjectsingle-cell analysis
dc.subjectmass cytometry
dc.titleqSNE - Quadratic rate t-SNE optimizer with automatic parameter tuning
dc.typesoftware

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