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t-SNE uses an iterative algorithm to optimize the low-dimensional representation. More iterations will result in a more accurate embedding to a pointan extent, but will take longer to run. Default is 1000.

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Initialize output values at random

If this option is selected, t-SNE initializes from random initial positions for each point. If disabled, the initial values for each point are assigned using the largest principal components extracted from the raw data. Default is enabled.  Paul FullertonPlease rephrase this and explain what is going on when enabled.

Distance metric

The metric to use when computing distances in high-dimensional space. Options are Euclidean, Manhattan, Chebyshev, Canberra, Bray Curtis, and Cosine. Default is Euclidean. Default is Euclidean.

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