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fda.clust 0.1.2
New Features
- Included three real datasets:
-
ECG200: Electrical signals for heartbeats (2 classes: normal and myocardial infarction).
-
ECG5000: A larger dataset of 5000 heartbeats (4 classes).
-
growth_ldata: Longitudinal growth data from the Berkeley Growth Study.
Changes
-
Removed the following functions:
-
New Classification of Functions:
- Clustering functions:
fkmeans
, fdbscan
, fmeanshift
, fhclust
- Cluster validation:
fclust.measures
- Simulation:
rprocKclust
, rprocKmu
- Internal utility functions:
kmeans.assig.groups
, kmeans.centers.update
, kmeans.fd.dist
Improvements
-
Vignettes for the Introduction and Simulations.
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New datasets: ECG200, ECG5000, and growth_ldata.