When visualizing clusters in high-dimensional data...
- Principal Component Analysis (PCA)
- t-Distributed Stochastic Neighbor Embedding (t-SNE)
- Linear Regression
- Random Forest
t-SNE (t-Distributed Stochastic Neighbor Embedding) is beneficial for visualizing clusters in high-dimensional data because it emphasizes non-linear similarities, making it suitable for complex data structures.
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