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Table 2:
Summary of Data Sets.
#dimension#sample#classesk#tripletλmaxλmin
Iris 150  546,668 1.3e+2.3e+
Wine 13 178  910,224 2.0e+5.1e+
Segment 19 2310 20 832,000 2.5e+4.2e+
Satimage 36 4435 15 898,200 1.0e+8.8e+
Phishing 68 11,055 487,550 5.0e+2.0e-
SensIT Vehicle 100 78,823 638,469 1.0e+2.9e+
a9a 16a 32,561 732,625 1.2e+3.1e+
Mnist 32a 60,000 10 1,350,025 7.0e+9.6e-
Cifar10 200a 50,000 10 180,004 2.0e+3.3e+
Rcv1.multiclass 200b 15,564 53 126,018 3.0e+6.0e-
#dimension#sample#classesk#tripletλmaxλmin
Iris 150  546,668 1.3e+2.3e+
Wine 13 178  910,224 2.0e+5.1e+
Segment 19 2310 20 832,000 2.5e+4.2e+
Satimage 36 4435 15 898,200 1.0e+8.8e+
Phishing 68 11,055 487,550 5.0e+2.0e-
SensIT Vehicle 100 78,823 638,469 1.0e+2.9e+
a9a 16a 32,561 732,625 1.2e+3.1e+
Mnist 32a 60,000 10 1,350,025 7.0e+9.6e-
Cifar10 200a 50,000 10 180,004 2.0e+3.3e+
Rcv1.multiclass 200b 15,564 53 126,018 3.0e+6.0e-

Note: #triplet and λmin are the average value for subsampled random trials.

aThe dimension was reduced by AutoEncoder.

bThe dimension was reduced by PCA.

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