openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding
Dublin Core
Title
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding
Subject
t-SNE, embedding, visualization, dimensionality reduction, Python.
Description
One of the most popular techniques for visualizing large, high-dimensional data sets
is t-distributed stochastic neighbor embedding (t-SNE). Recently, several extensions have
been proposed to address scalability issues and the quality of the resulting visualizations.
We introduce openTSNE, a modular Python library that implements the core t-SNE
algorithm and its many extensions. The library is faster than existing implementations
and can compute projections of data sets containing millions of data points in minutes.
is t-distributed stochastic neighbor embedding (t-SNE). Recently, several extensions have
been proposed to address scalability issues and the quality of the resulting visualizations.
We introduce openTSNE, a modular Python library that implements the core t-SNE
algorithm and its many extensions. The library is faster than existing implementations
and can compute projections of data sets containing millions of data points in minutes.
Creator
Pavlin G. Poličar
Source
https://www.jstatsoft.org/article/view/v109i03
Publisher
University of Ljubljana
M
M
Date
May 2024
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Pavlin G. Poličar, “openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding,” Repository Horizon University Indonesia, accessed April 4, 2025, https://repository.horizon.ac.id/items/show/8328.