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Table 1 Summarizes the properties of the datasets

From: A multiple kernel density clustering algorithm for incomplete datasets in bioinformatics

Properties PBC-A PBC-R MFCCs DLBCL-B Wine WDBC MPE-A MPE-R ESR
k 4 4 10 3 3 3 8 8 5
dim 18 18 22 643 13 30 80 80 178
N 624 624 7195 180 178 569 1080 1080 11500
  1. k is the number of ground-truth clusters in each dataset, dim is the dimension of each data sample in the datasets, and N is the number of data samples in the datasets