Machine Learning, Python, Towards Data Science, Dimensionality Reduction, Data Visualization.
Perplexity simply put is how you want to balance the focus between local (close points) and global structure of your data in the optimization process— the article suggests to keep this between 5 and 50. Higher perplexity means a data point will consider more points as its close neighbors and lower