Publications by years in reversed chronological order
Example: a mock contribution
This page is a reworking of the original t-SNE article using the
Computo template. It aims to help authors submitting to the journal by
using some advanced formatting features.
Visualizing Data using t-SNE: practical Computo example
We present a new technique called “t-SNE” that
visualizes high-dimensional data by giving each
datapoint a location in a two or three-dimensional
map. The technique is a variation of Stochastic
Neighbor Embedding hinton:stochastic that is much
easier to optimize, and produces significantly
better visualizations by reducing the tendency to
crowd points together in the center of the
map. t-SNE is better than existing techniques at
creating a single map that reveals structure at many
different scales. This is particularly important for
high-dimensional data that lie on several different,
but related, low-dimensional manifolds, such as
images of objects from multiple classes seen from
multiple viewpoints. For visualizing the structure
of very large data sets, we show how t-SNE can use
random walks on neighborhood graphs to allow the
implicit structure of all the data to influence the
way in which a subset of the data is displayed. We
illustrate the performance of t-SNE on a wide
variety of data sets and compare it with many other
non-parametric visualization techniques, including
Sammon mapping, Isomap, and Locally Linear
Embedding. The visualization produced by t-SNE are
significantly better than those produced by other
techniques on almost all of the data sets.
template, documentation, quarto, R, python
@article{mock_tsne,bibtex_show={true},author={van der Maaten, Laurens and Hinton, Geoffrey},title={{Visualizing Data using t-SNE: practical Computo example}},journal={Computo},year={2021},volume={0},doi={},html={https://computorg.github.io/published-paper-tsne},code={https://github.com/computorg/published-paper-tsne},data={},review={https://github.com/computorg/published-paper-tsne/issues},type={Template},language={R, Python},domain={Template},keywords={template, documentation, quarto, R, python}}
