<p>This artificial data was generated to show the strength of SUPC.
Clustering <code>D31</code> dataset is difficult for the partition type of clustering algorithms that require an initial set.
However, SUP correctly identifies the 31 major clusters.</p>

Implements the self-updating process clustering algorithms proposed
in Shiu and Chen (2016) <doi:10.1080/00949655.2015.1049605>.

Wush Wu

supc

D31: The Artificial Data of Consisting of as Many as 31 Randomly Placed Gaussian Clusters

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