Table 1:
Algorithm performances when applied to CarData, USPS, and ORL dataset, respectively. Reported values refer to the lowest and highest values of the factor rank
𝑟
as previously described.
CarData
Rank
20
110
Method
MSE
Time
o
r
t
h
(
𝑊
)
MSE
Time
o
r
t
h
(
𝑊
)
NMF
2
.
4
4
1
𝑒
9
275
8
.
7
4
1
1
𝑒
4
1
.
4
5
7
𝑒
9
453
4
.
4
4
3
5
𝑒
5
LNMF
2
.
4
0
4
𝑒
1
0
292
4.9734
2
.
3
7
3
𝑒
1
0
472
10.2373
NMFsc
2
.
5
5
9
𝑒
9
695
6
.
7
8
1
8
𝑒
9
1
.
4
2
2
𝑒
9
1265
1
.
5
8
2
5
𝑒
9
DLPP
2
.
6
6
4
𝑒
9
2271
1.5627
1
.
6
5
7
𝑒
9
2591
3.3221
USPS
Rank
80
220
Method
MSE
Time
o
r
t
h
(
𝑊
)
MSE
Time
o
r
t
h
(
𝑊
)
NMF
1
.
2
9
7
𝑒
4
397
2
.
8
1
6
6
𝑒
4
3
.
0
3
1
𝑒
3
847
1
.
2
1
4
2
𝑒
5
LNMF
1
.
3
3
1
𝑒
5
374
6.6387
1
.
6
0
9
𝑒
4
1427
6.4695
NMFsc
1
.
3
1
8
𝑒
4
777
5
.
2
8
5
4
𝑒
4
5
.
5
6
8
𝑒
3
1409
2
.
7
7
6
1
𝑒
4
DLPP
1
.
5
0
7
𝑒
4
637
3.4077
1
.
2
4
9
𝑒
3
1144
3.2623
ORL
Rank
20
80
Method
MSE
Time
o
r
t
h
(
𝑊
)
MSE
Time
o
r
t
h
(
𝑊
)
NMF
1
.
0
2
7
𝑒
9
496
1
.
5
7
0
1
𝑒
5
5
.
4
1
3
𝑒
8
705
6
.
0
5
7
7
𝑒
5
LNMF
3
.
1
0
4
𝑒
1
0
556
4.4656
3
.
0
8
0
𝑒
1
0
781
8.8920
NMFsc
1
.
4
2
5
𝑒
9
1362
1
.
0
7
6
2
𝑒
1
0
6
.
1
8
3
𝑒
8
2164
2
.
2
6
7
4
𝑒
9
DLPP
1
.
3
2
3
𝑒
9
14824
1.7690
8
.
1
4
5
𝑒
8
15278
3.4647