High Performance Computing and Real Time Software for High Dimensional Data Classification

Abstract

The classification result of the semi-supervised and unsupervised graph MBO methods on the Urban data for four classes. (a) The ground truth with four classes: asphalt (blue), grass (red), trees (green), roof (yellow). (b) Pixels selected to have known labels (10% of the data) for the semi-supervised algorithm. (c) The classification result of the semi-supervised algorithm with the accuracy of 93.48%. (d) The classification result of the unsupervised algorithm with the accuracy of 92.35%. (e) The result of spectral clustering with K-means with the accuracy of 75.06%.