five

Repliclust datasets

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Figshare2026-02-23 更新2026-04-28 收录
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To simulate high-dimensional, anisotropic clusters with substantial inter-class separation, we employed the Repliclust method proposed by Zellinger et Bühlmann (2025). Two datasets were generated, one with two clusters and one with five clusters each in dimensions of 10,50 and 200 containing 1000 samples per cluster for K (number of clusters) = 2 and 400 samples per cluster for K=5.
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2026-02-23
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