Difference between revisions of "Fit-sne"
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(Created page with "Category:SoftwareCategory:Phylogenetics {|<!--CONFIGURATION: REQUIRED--> |{{#vardefine:app|Fit-sne}} |{{#vardefine:url|https://github.com/KlugerLab/FIt-SNE}} <!--CONFI...") |
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==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
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