Matplotlib for Python Developers - Second Edition

Importing the t-SNE method from scikit-learn

We will implement the t-SNE method by loading the TSNE function from scikit-learn, as follows:

from sklearn.manifold import TSNE

There are a few hypervariables that the user has to set upon running t-SNE, which include:

• 'init' : Initialization of embedding
• 'method': barnes_hut or exact
• 'perplexity': Default 30
• 'n_iter': Default 1000
• 'n_components': Default 2

Going into the mathematical details of individual hypervariables would be a chapter on its own, but we do have suggestions on what the parameters should be in general. For init, it is recommended to use 'pca' with the reason given before. For method, barnes_hut will be faster and gives very similar results if the provided dataset is not highly ...