How to include labels during embedding
meghbhalerao opened this issue · 1 comments
meghbhalerao commented
Hi all,
I have a very basic question. How do I incorporate the labels (for colouring the tsne plot) after the embedding has been learnt in this step: X_embedded = TSNE(n_components=2, perplexity=15, learning_rate=10).fit_transform(X)
. From what I understand, I see only X which are the high dimensional vectors.
Thanks,
Megh
rmrao commented
tSNE does not incorporate label information, it is simply a dimensionality reduction algorithm (not a clustering algorithm). The labels are for visualization purposes only and are passed in as colors when creating a scatterplot in matplotlib.