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Clustering by latent dimensions
This paper introduces a new clustering technique, called {\em dimensional clustering}, which clusters each data point by its latent {\em pointwise dimension}, which is a measure of the dimensionality of the data set local to that point.
On the Estimation of Pointwise Dimension
We propose pointwise dimension as an object for estimation in response to the dimension blindness of correlation dimension.
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