D31 {supc} | R Documentation |
The Artificial Data of Consisting of as Many as 31 Randomly Placed Gaussian Clusters
Description
This artificial data was generated to show the strength of SUPC.
Clustering D31
dataset is difficult for the partition type of clustering algorithms that require an initial set.
However, SUP correctly identifies the 31 major clusters.
References
Veenman, C. J., M. J. T. Reinders, and E. Backer. 2002. A Maximum Variance Cluster Algorithm. IEEE Trans. Pattern Analysis and Machine Intelligence 24 (9): 1273–80.
[Package supc version 0.2.6.2 Index]