Multivariate Outlier Detection Based on Robust Methods
Various Methods for Multivariate Outlier Detection.
Data (X coordinate) of illustrative example in paper (see below)
Data (Y coordinate) of illustrative example in paper (see below)
Adjusted Quantile Plot
Adaptive reweighted estimator for multivariate location and scatter
B-horizon of the Kola Data
Background map for the BSS project
Bottom Layer of the BSS Data
Top Layer of the BSS Data
Chi-Square Plot
C-horizon of the Kola Data
Color Plot
Correlation Plot: robust versus classical bivariate correlation
Data of illustrative example in paper (see below)
Distance-Distance Plot
Humus Layer (O-horizon) of the Kola Data
Background map for the Kola project
Diagnostic plot for identifying local outliers with varying size of neighborhood
Diagnostic plot for identifying local outliers with fixed size of neighborhood
Interactive diagnostic plot for identifying local outliers
Plot Multivariate Outliers in a Map
Moss Layer of the Kola Data
Interpreting multivatiate outliers of CoDa
BSS background Plot
PCOut Method for Outlier Identification in High Dimensions
Kola background Plot
Plots for interpreting multivatiate outliers of CoDa
Sign Method for Outlier Identification in High Dimensions - Simple Version
Sign Method for Outlier Identification in High Dimensions - Sophisticated Version
Symbol Plot
Univariate Presentation of Multivariate Outliers
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.