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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