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Table 8 Comparison among DPART, FUM, and FCM in data sets with moderately unbalanced sample sizes

From: Characterization of a Bayesian genetic clustering algorithm based on a Dirichlet process prior and comparison among Bayesian clustering methods

 

Nl = 10

    

Nl = 20

 

M = 0.005

   

M = 0.003

M = 0.005

 

N (50, 50)

N (50, 100)

N (50, 200)

N (50, 300)

N (50, 300)

N (50, 300)

DPART

0.125 (73)

0.120 (66)

0.100 (62)

0.119 (52)

0.030 (99)

0.023 (100)

 

1.92

2.01

2.05

2.03

2.15

2.12

FUM

0.073 (86)

0.072 (85)

0.081 (70)

0.118 (33)

0.023 (99)

0.016 (100)

FCM

0.074 (84)

0.078 (80)

0.103 (50)

0.146 (11)

0.039 (89)

0.023 (99)

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BMC Bioinformatics

ISSN: 1471-2105

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