Optdigits dataset

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


File: optdigits.mat

Description: X = Multi-dimensional point data, y = labels (1 = outliers, 0 = inliers)