Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Could you share how to check the effect of single-character classification? #7

Closed
0012xuqian opened this issue May 21, 2023 · 1 comment

Comments

@0012xuqian
Copy link

Dear Dr. Fwillett,

I would like to express my gratitude for sharing your code. I have some problems trying to reproduce character classification and use T-SNE to see the classification effect. I have noticed that the scatter plot generated in my replication appears to have more concentrated clusters compared to the perfect separation achieved in the image presented in your paper. Although classification can also be achieved, no matter how I debug it, it is not as remarkable as the effect in your paper.

I would greatly appreciate it if you could provide me with some insights or details regarding the character classification process that could help me improve the visualization results. Thank you very much in advance for your assistance.

Best regards,
XuQian

@fwillett
Copy link
Owner

Hi XuQian! I uploaded a new script "tsneAndKNNExample.m" in the "matlabExamples" folder that shows how to do classification and t-SNE exactly as it was done in the paper. Hope this helps!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants