-
Response time is 35+ seconds due to the reduction of n-dimensional coordinates to 2-dimensional coordinates through t-distributed stochastic neighbor embedding (t-SNE).
-
### Describe the bug
I got a crash using the (external) [hdbscan package](https://github.com/scikit-learn-contrib/hdbscan) in some special situation. I [debugged it](https://github.com/scikit-learn…
-
Hello to everyone,
I am running the CUML TSNE algorithm over the following dataset: https://github.com/oreilly-mlsec/book-resources/tree/master/chapter2/datasets .
The dataset has been loaded as …
-
Wondering if is possible to use threads. I was applying tsne to a dataset of size(50K,10) and it is really slow.
Can you give advice to handle big datasets?
-
I've been testing the latest CRAN version of this package on some data which should be highly separable and have been getting very poor results (basically no separation), so it looks like there's a bu…
-
Currently only the gradient norm is used for early stopping. However, one can calculate the actual Kullback Leiback divergence during the gradient updates for further diagnosis of whether TSNE has rea…
-
Hi,
Since t-SNE is increasingly used to visualize neural networks outputs (and their layers), it would be extremely helpful to have an implementation of t-SNE in pytorch, in particular the barnes-h…
-
Hi,
I am working on unsupervised clustering featuers vectors (length of 2048) of large sets of images (40k to 200k). I would like to do this using t-SNE and then explore it using the Tensorboard em…
-
**Describe the bug**
I have some feature sets whose dimension is 128. If the iteration of tSNE is more than 1000, it can finish in a few minutes for most sets. However, it is stuck for more than 12 h…
-
**Describe the bug**
For this given dataset TSNE freezes with GPU at 100% utilization and no change is mem utilization.
https://drive.google.com/file/d/1PY3GcwTpoupba_oqwTlX5bP8CdW9YfNS/view?usp=s…