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Table 4 Setting for baseline datasets

From: G-bic: generating synthetic benchmarks for biclustering

 

Properties

Dataset R

Dataset S

DatasetB

Dataset I

Dataset C

Dataset H

dataset

Data type

Real-valued

Symbolic

Integer

Integer

Real-valued

Heterogeneous (50% real, 50% symbolic)

Size

\(1000 \times 100\)

\(1000 \times 100\)

\(1000 \times 100\)

\(1000 \times 100\)

\(1000 \times 100\)

\(1000 \times 100\)

Alphabet

[-100,100]

{a,b,c,d,e}

{1,0}

[0,100]

[-100,100]

[-100,100] and {a,b,c,d,e}

Background

N(0,30)

Missing

Missing

Uniform

Uniform

Missing

bics

Number

1

1

1

1

1

1

Dimensions

\(50 \times 50\)

\(50 \times 50\)

\(50 \times 50\)

\(50 \times 50\)

\(50 \times 50\)

\(50 \times 50\)

Contiguity

No

No

No

No

Yes

No