C. Bouveyron, S. Girard, and C. Schmid, High-dimensional data clustering, Computational Statistics & Data Analysis, vol.52, issue.1, pp.502-519, 2007.
DOI : 10.1016/j.csda.2007.02.009
URL : https://hal.archives-ouvertes.fr/inria-00548573

V. Chandola, A. Banerjee, and V. Kumar, Outlier detection: A survey, ACM Computing Surveys, issue.3, p.41, 2009.

E. Côme, M. Cottrell, M. Verleysen, and J. Lacaille, Aircraft engine health monitoring using self-organizing maps, Advances in Data Mining. Applications and Theoretical Aspects, pp.405-417, 2010.

E. Côme, M. Cottrell, M. Verleysen, and J. Lacaille, Self organizing star (sos) for health monitoring, Proceedings of the European conference on artificial neural networks, pp.99-104, 2010.

R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis, 1973.

T. Kohonen, Self-organizing maps, 2001.

J. Lacaille and E. Côme, Sudden change detection in turbofan engine behavior, Proceedings of the The Eighth International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, pp.542-548, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00662337

J. Lacaille and V. Gerez, Online abnormality diagnosis for real-time implementation on turbofan engines and test cells, pp.579-587, 2011.

J. Lacaille, V. Gerez, and R. Zouari, An adaptive anomaly detector used in turbofan test cells, Proceedings of the Annual Conference of the Prognostics and Health Management Society, 2010.

M. Markou, Novelty detection: a review???part 1: statistical approaches, Signal Processing, vol.83, issue.12, pp.2481-2497, 2003.
DOI : 10.1016/j.sigpro.2003.07.018

M. Markou, Novelty detection: a review???part 2:, Signal Processing, vol.83, issue.12, pp.2499-2521, 2003.
DOI : 10.1016/j.sigpro.2003.07.019