R: Anomaly Detection in High Dimensional and Temporal Data

# Anomaly Detection in High Dimensional and Temporal Data

## Documentation for package ‘stray’ version 0.1.1

- DESCRIPTION file

## Help Pages

data_a | A dataset with an outlier
data_b | A bimodal dataset with a micro cluster
data_c | A dataset with local anomalies and micro clusters
data_d | A wheel dataset with two inliers
data_e | A bimodal dataset with an inlier
data_f | A dataset with an outlier
display_HDoutliers | Display outliers with a scatterplot
find_HDoutliers | Detect Anomalies in High Dimensional Data.
find_threshold | Find Outlier Threshold
ped_data | Dataset with pedestrian counts
stray | stray: A package for robust anomaly detection in data streams with concept drift
use_KNN | Find outliers using kNN distance with maximum gap
wheel1 | wheel data set with inlier and outlier.