Clustering via minimum volume ellipsoids.

Romy Shioda Levent Tunçel

Published in: Comput. Optim. Appl. (2007)

Keyphrases

minimum volume
novelty detection
clustering algorithm
k means
uniform convergence
anomaly detection
outlier detection
unsupervised learning
machine learning
data points