Dataset information
The original optical recognition of handwritten digits dataset from UCI machine learning repository is a multi-class classification dataset. The instances of digits 1-9 are inliers and instances of digit 0 are down-sampled to 150 outliers.
Source (citation)
C. C. Aggarwal and S. Sathe, “Theoretical foundations and algorithms for outlier ensembles.” ACM SIGKDD Explorations Newsletter, vol. 17, no. 1, pp. 24–47, 2015.Downloads
Downloads
File: optdigits.mat
Description: X = Multi-dimensional point data, y = labels (1 = outliers, 0 = inliers)
