Format
GunPoint is a list with one training time series dataset and one test
time series dataset provided as separate matrices. There are 50 cases (rows)
for training dataset with 150 variables (columns). Similarly there are 150
cases for test dataset with 150 variables. Variables are representing the
observations over time. In other words, they are ordered so that a row is
a univariate time series. Originally, this is a classification problem where
there are two classes. Therefore, list stores the class information for both
training and test time series. This information is stored in arrays of length 50
and 150 for training and test time series respectively (so each time series
is associated with a class). Description by Chotirat Ann Ratanamahatana and Eamonn Keogh in their publication
``Everything you know about Dynamic Time Warping is Wrong`` is as follows: ``...This dataset comes from the video surveillance domain. The dataset has two classes,
each containing 100 instances. All instances were created using one female actor and
one male actor in a single session. The two classes are: Gun-Draw: The actors have
their hands by their sides. They draw a replicate gun from a hip-mounted holster,
point it at a target for approximately one second, then return the gun to the holster,
and their hands to their sides. Point: The actors have their gun by their sides.
They point with their index fingers to a target for approximately one second, and
then return their hands to their sides. For both classes, we tracked the centroid
of the actor's right hands in both X- and Y-axes, which appear to be highly correlated;
therefore, in this experiment, we only consider the X-axis for simplicity...``