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Here I tried to use 2D visualization, and it may be more immediate: https://antirez.com/news/150 https://antirez.com/news/150
by antirez 1y ago
Here I tried to use 2D visualization, and it may be more immediate:
https://antirez.com/news/150 https://antirez.com/news/150
- janalsncm 1y agoWhere can I find the original dataset for doing stylometry?
- pamelafox 1y agoThanks for sharing that too! I do have a notebook that does a PCA reduction to plot a similarity space: https://github.com/pamelafox/vector-embeddings-demos/blob/main/similarity.ipynb https://github.com/pamelafox/vector-embeddings-demos/blob/ma... But as I noted in another comment, I think it loses so much information as to be deceiving. I also find this 3d visualization to be fun: https://projector.tensorflow.org/ https://projector.tensorflow.org/ But once again, huge loss in information. I personally learn more by actually seeing the relative similarity ranking and scores within a dataset, versus trying to visualize all of the nodes on the same graph with a massive dimension simplification. That 3d visualization is what originally intrigued me though, to see how else I could visualize. :)