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Machine Learning
A technique for visualizing high-dimensional data by giving each datapoint a location in a 2D or 3D map.
Detailed Explanation
t-SNE (t-Distributed Stochastic Neighbor Embedding) is a machine learning technique used to visualize high-dimensional data by reducing it to 2D or 3D space. It preserves local structure, making similar data points appear close together, which helps identify patterns, clusters, and relationships that are difficult to discern in the original high-dimensional space.
Use Cases
- •Use case: Visualize gene expression patterns to identify clusters of similar samples in a high-dimensional genomics dataset.
Related Terms
Other terms in the Machine Learning category