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. Author manuscript; available in PMC: 2017 Jan 1.
Published in final edited form as: IEEE Trans Cybern. 2016 Jan;46(1):181–193. doi: 10.1109/TCYB.2015.2399351

TABLE II.

Clustering Performance (NMI, RI, and DBI) of Related Algorithms on Synthetic Datasets

Dataset Metrics Algorithm
LSSMTC CombKM MEC STC CPM-JL-CDMEC
X1 NMI-mean 0.7626 0.7859 0.7730 0.8552 0.9144
NMI-std 1.17E-16 9.79E-17 1.17E-16 0 0
RI-mean 0.9023 0.9168 0.9089 0.9443 0.9654
RI-std 1.17E-16 2.34E-16 1.17E-16 0 1.17E-16
DBI-mean 0.6153 0.6676 0.6229 0.5928 0.5929
DBI-std 0 1.17E-16 1.17E-16 0 0
X2 NMI-mean 0.6443 0.6960 0.6498 0.7335 0.7138
NMI-std 1.17E-16 0.0036 1.17E-16 0 1.17E-16
RI-mean 0.8382 0.8738 0.8405 0.8822 0.8891
RI-std 1.17E-16 0.0014 1.17E-16 0 1.17E-16
DBI-mean 0.8835 0.7931 0.8418 0.8897 0.6503
DBI-std 9.72E-5 0 0.0151 0 0
X3 NMI-mean 0.7263 0.7163 0.7523 0.7782 0.7954
NMI-std 1.17E-16 1.17E-16 0 0 0
RI-mean 0.8984 0.8917 0.9111 0.9168 0.9296
RI-std 0 2.34E-16 1.17E-16 0 0
DBI-mean 0.8820 1.0552 0.8802 0.8806 0.6605
DBI-std 0 0.0119 1.17E-16 0 0