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Table 3 Evaluated algorithms and the range of parameters that have been tested.

From: Genome classification by gene distribution: An overlapping subspace clustering approach

  

Test range

 

Algorithm

Parameter

Min.

Max.

Step size

Best case

O-HARP

t – cluster tightness

0.1

0.9

0.04

0.58

 

f – filtering threshold

0

0.04

0.8

0.24

HARP

K – target # of clusters

3

30

1

7

 

MOP – max. outlier percentage

5

13

1

9

SAMBA

v – version

(discrete: 6 versions – tested all)

v2

 

t – try covering all probes

(discrete: true/false – tested both)

true

 

f – overlap factor

0.001

0.13

varies

0.03

 

rp – responding probes to hash

3

30

3

9

Cheng-Church

d – delta

0.03

0.9

varies

0.07

 

a – alpha

1.0

1.2

0.1

1.2

 

K – target # of clusters

10

300

varies

70

FastDOC

K – target # of clusters

3

18

3

n/a

 

b – beta

0.2

0.45

0.05

n/a

 

w – cluster width

0.05

0.65

0.2

n/a

 

MAXITER – max. # of inner iterations

8000

10000

2000

n/a

SynFPS

K – target # of clusters

5

10

1

9

n-gram

n – length of nucleotide sequence

2

6

1

5

 

k – target # of clusters

3

10

1

9