SemanticScuttle - klotz.me

klotz: pca* + matplotlib*

Bookmarks on this page are managed by an admin user.

0 bookmark(s) - Sort by: Date ↓ / Title / - Bookmarks from other users for this tag

1. “Visualising high-dimensional datasets using PCA and t-SNE in Python”

   2018-10-06 Tags: t-sna, pca, visualization, python, matplotlib, data science by klotz
2. python - How can i plot a Kmeans text clustering result with matplotlib? - Stack Overflow

   In your example if you use PCA to initialize your t-SNE you get widely spaced centroids; if you use random initialization you'll get tiny centroids and an uninteresting picture.

   2018-08-14 Tags: knn, cluster, visualization, python, matplotlib, tf-idf, pca by klotz
3. word2vec-pride-vis/tsne.py at master · arnicas/word2vec-pride-vis

   I used a Python t-SNE library to reduce the 200 feature dimensions for each word to 2 dimensions and plotted them in matplotlib. I saved out the x/y coordinates for each word in the book, so that I can show those words on the graph as you mouse over the replaced (blue) words.

   2016-05-19 Tags: t-sne, similarity, dimensionality reduction, pca, python, word2vec, matplotlib by klotz

Top of the page

First / Previous / Next / Last / Page 1 of 0