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Fig. 7.
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Dimensionality reduction using two-dimensional t-distributed Stochastic Neighbor Embedding (t-SNE) on the encoded data. Projecting the high-dimensional data into two embedding components allows t-SNE to effectively visualize distinct clusters, with lensed quasars (red) and non-lensed sources (blue) showing clear separation.
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