Within the population exploration settings, it is possible to control various aspects of the way the population exploration works and the samples it presents.
* **Reduction Algorithm:** let you control whether TSNE or PCA is used for the reduction of the latent space into a 2D space.
* **Advanced options:**
* Metadata Based balancing: Balance the chosen samples across some metadata. For example, if you want to have the same number of class representatives from an unbalanced dataset, choose a metadata that assigns a label to sample, and balance according to it to get an even representation from each class.
* Additional analysis: Select from a set of additional analysis options Tensorleap suggests but don't automatically perform
{% hint style="warning" %}
Some of the additional analysis options might take some time to compute, especially for large (>1M) datasets.
{% endhint %}
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