A manifold optimization method combining contrastive PCA and kurtosis projection pursuit generates embeddings that discount prior knowledge structures while revealing underlying cluster separation in high-dimensional data.
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Cluster Exploration using Informative Manifold Projections
A manifold optimization method combining contrastive PCA and kurtosis projection pursuit generates embeddings that discount prior knowledge structures while revealing underlying cluster separation in high-dimensional data.