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Found 4 papers, 2 papers with code
Revised Conditional t-SNE: Looking Beyond the Nearest Neighbors
Conditional t-SNE (ct-SNE) is a recent extension to t-SNE that allows removal of known cluster information from the embedding, to obtain a visualization revealing structure beyond label information.
Topologically Regularized Data Embeddings
In some cases, users may have prior topological knowledge about the data, such as a known cluster structure or the fact that the data is known to lie along a tree- or graph-structured topology.
ExClus: Explainable Clustering on Low-dimensional Data Representations
Dimensionality reduction and clustering techniques are frequently used to analyze complex data sets, but their results are often not easy to interpret.
Factoring out prior knowledge from low-dimensional embeddings
Low-dimensional embedding techniques such as tSNE and UMAP allow visualizing high-dimensional data and therewith facilitate the discovery of interesting structure.
