GPU-acceleration of neighborhood-based dimensionality reduction algorithm EmbedSOM

Author:

Šmelko Adam1ORCID,Kruliš Martin1ORCID,Klepl Jiří1ORCID

Affiliation:

1. Charles University, Czechia

Funder

Charles University institutional funding SVV

Publisher

ACM

Reference17 articles.

1. Aysun Adan, Günel Alizada, Yağmur Kiraz, Yusuf Baran, and Ayten Nalbant. 2017. Flow cytometry: basic principles and applications. Critical reviews in biotechnology 37, 2 (2017), 163–176.

2. Optogenetic dissection of descending behavioral control in Drosophila;Cande Jessica;Elife,2018

3. David M Chan, Roshan Rao, Forrest Huang, and John F Canny. 2018. T-SNE-CUDA: GPU-Accelerated T-SNE and its Applications to Modern Data. In 2018 30th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). IEEE Computer Society, 330–338.

4. GPU accelerated t-distributed stochastic neighbor embedding

5. The self-organizing map

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