What are some common algorithms to visualize?

What are some common algorithms used for data visualization?

Some common algorithms include PCA, t-SNE, and UMAP for dimensionality reduction, and D3.js for interactive visualizations.

Can you explain how t-SNE works?

t-SNE, or t-distributed Stochastic Neighbor Embedding, reduces dimensions by converting similarities into probabilities, preserving local structures.

What about UMAP? How is it different from t-SNE?

UMAP, or Uniform Manifold Approximation and Projection, is faster than t-SNE and preserves more of the global structure of the data.

Are there any specific use cases for these algorithms?

Yes, PCA is often used in image compression, t-SNE is popular in visualizing high-dimensional data like gene expression, and UMAP is used in clustering tasks.