# t-SNE - how to use in production pipeline?

**URL:** <https://forum.knime.com/t/t-sne-how-to-use-in-production-pipeline/49365>\
**Category:** KNIME Extensions\
**Created:** [November 25, 2022, 11:31am UTC](https://forum.knime.com/t/t-sne-how-to-use-in-production-pipeline/49365 "2022-11-25T11:31:23Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![mlauber71](https://forum-cdn.knime.com/user_avatar/forum.knime.com/mlauber71/32/73590_2.png) [@mlauber71](https://forum.knime.com/u/mlauber71)\
**Post date:** [November 29, 2022, 10:47am UTC](https://forum.knime.com/t/t-sne-how-to-use-in-production-pipeline/49365/6 "2022-11-29T10:47:19Z")

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As an addition these articles from the KNIME low-code blog on Medium:

Seven Techniques for Data Dimensionality Reduction

> **[Seven Techniques for Data Dimensionality Reduction](https://medium.com/low-code-for-advanced-data-science/seven-techniques-for-data-dimensionality-reduction-1fe81d6174da)**
>
> A codeless KNIME solution to work with datasets with thousands of columns

Three More Techniques for Data Dimensionality Reduction in ML

> **[Three More Techniques for Data Dimensionality Reduction in ML](https://medium.com/low-code-for-advanced-data-science/three-new-techniques-for-data-dimensionality-reduction-in-ml-1378a4fe31a9)**
>
> Implementing LDA, Neural Autoencoder, and t-SNE in a codeless fashion

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