traj 2.2.0
- Added k-medoids as the default clustering algorithm.
- Added the Calinski-Harabasz index as the default criterion for determining the optimal number of clusters.
traj 2.1.0
- Makes substantial changes to the list of measures.
- In
trajdata, the group of size 30 is made up of quadratic (instead of linear) curves.
- Introduces the vignette “Using the traj package”.
traj 2.0.1
- Fixes minor bugs and improves presentation.
traj 2.0.0
- Changes the way the measures are computed in order to be better suited to missing values and unequally spaced observation times.
- Allows for better control over the choice of a “midpoint”.
- Implements a capping procedure to automatically handle outliers. Measures of the form 0/0 are set to 1.
- Fixes an important bug in the implementation of step 2.
- The criterion of Tibshirani et al. based on the GAP statistic is the new default for choosing the number of clusters.
- Allows more control over the parameters of
kmeans.
- The outputs of
summary, print andplot are more detailed.