Difference between revisions of "Fit-sne"

From UFRC
Jump to navigation Jump to search
(Created page with "Category:SoftwareCategory:Phylogenetics {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|Fit-sne}} |{{#vardefine:url|https://github.com/KlugerLab/FIt-SNE}} <!--CONFI...")
 
 
Line 25: Line 25:
 
==System Variables==
 
==System Variables==
 
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 
* HPC_{{uc:{{#var:app}}}}_DIR - installation directory
 +
* HPC_{{uc:{{#var:app}}}}_BIN - executable directory
 +
* HPC_{{uc:{{#var:app}}}}_EXE - example directory
 
<!--Configuration-->
 
<!--Configuration-->
 
{{#if: {{#var: conf}}|==Configuration==
 
{{#if: {{#var: conf}}|==Configuration==

Latest revision as of 16:34, 27 May 2022

Description

Fit-sne website  

t-Stochastic Neighborhood Embedding (t-SNE) is a highly successful method for dimensionality reduction and visualization of high dimensional datasets. A popular implementation of t-SNE uses the Barnes-Hut algorithm to approximate the gradient at each iteration of gradient descent. We accelerated this implementation as follows

Environment Modules

Run module spider Fit-sne to find out what environment modules are available for this application.

System Variables

  • HPC_FIT-SNE_DIR - installation directory
  • HPC_FIT-SNE_BIN - executable directory
  • HPC_FIT-SNE_EXE - example directory