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Table 8 Classification runtime of the proposed method with and without LSM

From: Dissimilarity space reinforced with manifold learning and latent space modeling for improved pattern classification

Dataset

Proposed Algorithm

Proposed Algorithm without LSM

Iris

  

 Best (20,linSVM)

0.01

0.05

 Average

0.06

0.07

Glass

  

 Best(60,1-NN)

0.10

0.13

 Average

0.10

0.13

Ionosphere

  

 Best(50,5-NN)

0.15

0.17

 Average

0.13

0.17

Monk

  

 Best(60,polySVM2)

0.02

0.09

 Average

0.08

0.08

BreastCancer

  

 Best(50,11-NN)

0.40

0.45

 Average

0.47

0.53

Wine

  

 Best(10,linSVM)

0.10

0.15

 Average

0.11

0.10

USPS_nE

  

 Best(60,linSVM)

0.08

0.15

 Average

0.10

0.18

USPS_E

  

 Best(120,linSVM)

0.88

1.09

 Average

0.51

0.60

Digit5

  

 Best(10,linSVM)

0.06

0.08

 Average

0.09

0.10

MNIST

  

 Best(5000,1-NN)

10,000

12,000

 Average

11,200

13,300