A feature matrix returned by `tsmeasures` function
n
Number of unusual time-series to return
method
Bivariate outlier detection method used for detecting high density regions of the first two principle components extracted from the time-series
robust
If TRUE a robust PCA will be used for feature extraction
plot
If TRUE, a visualization of the anomalous time-series in the first two principle compoents will be shown
labels
If TRUE, labels will be added to give the anomlous time series an ordering index.
col
A vector of length 2 giving the colours for the first and second set of points respectively (and the corresponding axes).
If a single colour is specified it will be used for both sets. If missing the default colour is used.
Value
A vector of n most unusual time-series and
a matrix of principal component scores