Data Science, Machine Learning, Unsupervised Learning, Dimensionality Reduction, Cruio.
variables (principal components) that capture the maximum variance in the data. t-Distributed Stochastic Neighbor Embedding (t-SNE): t-SNE is a non-linear dimensionality reduction technique that is particularly useful for visualizing high-dimensional data in low-dimensional space while preserving