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Table 2 Parameter estimation

From: Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data

method

dim

neighbors/σ

loo-cv accuracy

PCA

14

-

87.4

KPCA

15

5e5

87.1

LLE

12

14

88.5

IM

8

10

85

IM(mod)

15

4

87.4

LEM

5

4

85.3

DM

13

5e5

84.3

MVU

5

14

85

  1. All parameters of the dimension reduction techniques for the Wang et al. breast cancer dataset, estimated by leave-one-out cross-validation. PCA has no additional parameter, while KPCA and DM have a kernel parameter σ and IM, LEM and MVU take the number of neighbors as argument.
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BMC Bioinformatics

ISSN: 1471-2105

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