Research Article

Spectral Nonlinearly Embedded Clustering Algorithm

Table 4

Performance comparison of different algorithms for the out-of-sample clustering on ten datasets.

DatasetNyström SCKMSECKSECESEC

Iris73.6 ± 1.875.6 ± 1.963.0 ± 1.977.1 ± 2.779.8 ± 2.1
Glass49.7 ± 0.957.4 ± 1.258.6 ± 1.658.9 ± 2.463.1 ± 2.5
Wine45.2 ± 0.954.6 ± 2.149.7 ± 1.961.2 ± 2.363.7 ± 1.9
WPBC52.2 ± 2.864.7 ± 1.573.5 ± 1.574.3 ± 1.676.2 ± 1.4
SpectfHeart51.4 ± 1.966.8 ± 2.953.5 ± 1.772.2 ± 2.370.8 ± 2.6
USPS48.3 ± 4.556.0 ± 2.261.5 ± 2.465.1 ± 1.662.3 ± 2.8
Yale20.7 ± 2.323.0 ± 1.635.9 ± 1.742.5 ± 1.645.8 ± 1.9
COIL2063.9 ± 2.461.6 ± 3.368.9 ± 2.572.4 ± 2.770.2 ± 3.1
Isolet34.8 ± 2.739.2 ± 1.245.3 ± 2.966.0 ± 1.868.4 ± 1.5
ORL43.5 ± 2.147.6 ± 1.855.2 ± 1.560.7 ± 1.958.7 ± 1.7