Machine Learning, Data Science, Deep Learning, Dimensionality Reduction, Artificial Intelligence.
operates on a simple idea: similar data points should be close together in the visualization. Here’s how it works: Choosing a Data Point: t-SNE starts by picking a data point at random. Finding Neighbors: It then looks at the data points closest to the chosen point. These are its “neighbors.”