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We propose a model for a dataset in ${\mathbb R}^D$ that does not contain anyclusters but yet is such that a projection of the points on a randomone-dimensional subspace is likely to yield a clustering of the points. Thismodel is compatible with some recent empirical observations.

A highly likely clusterable data model with no clusters