The grand tour: a tool for viewing multidimensional data
SIAM Journal on Scientific and Statistical Computing
Grand tour methods: an outline
Proceedings of the Seventeenth Symposium on the interface of computer sciences and statistics on Computer science and statistics
Robust regression and outlier detection
Robust regression and outlier detection
Principles of multivariate analysis: a user's perspective
Principles of multivariate analysis: a user's perspective
Projection pursuit exploratory data analysis
Computational Statistics & Data Analysis
A Framework for Robust Subspace Learning
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
High breakdown estimators for principal components: the projection-pursuit approach revisited
Journal of Multivariate Analysis
Generalized Principal Component Analysis (GPCA)
IEEE Transactions on Pattern Analysis and Machine Intelligence
Supervised probabilistic principal component analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
Exploratory Data Analysis with MATLAB (Computer Science and Data Analysis)
Exploring Data Tables, Trends, and Shapes (Wiley Series in Probability and Statistics)
Exploring Data Tables, Trends, and Shapes (Wiley Series in Probability and Statistics)
A Projection Pursuit Algorithm for Exploratory Data Analysis
IEEE Transactions on Computers
Annealing robust fuzzy basis function for modelling with noise and outliers
International Journal of Computer Applications in Technology
Video Behavior Profiling for Anomaly Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Outlier detection and evaluation by network flow
International Journal of Computer Applications in Technology
Robust PCA for skewed data and its outlier map
Computational Statistics & Data Analysis
Are amino acids counts in yeast ORFs negative binomial?
International Journal of Biometrics
Outliers in Biometrical Data - Two Real Examples of Analysis
ICBAKE '09 Proceedings of the 2009 International Conference on Biometrics and Kansei Engineering
Outliers in some Faces and non-Faces data
International Journal of Biometrics
How to handle missing data in robust multi-biometrics verification
International Journal of Biometrics
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Nowadays a huge amount of data is gathered in the biometric area, e.g., sequences of DNA code, graphical images for recognition or authorisation of subjects, video monitoring, clinical trials or health care. Outliers are observations which are discordant with the model describing the data. The appearance of an outlier may be caused by a gross error; alternatively, an outlier (or a group of them) may represent observations which are caused by phenomena not accounted for in the assumed model. The paper shows a subjective survey of some methods serving for detection of outliers or anomalies in multivariate data. The methods are viewed from historical perspective.