| EMM-class {rEMM} | R Documentation |
Class "EMM"
Description
This class represents the extensible Markov Model. It consists
of a simple data stream clustering algorithm (class "tNN") and
a temporal layer (class "TRACDS").
Objects from the Class
Objects can be created using the creator function EMM or by
directly calling new("EMM", ...). Most slots for the extended
classes can be used as parameters for EMM.
Slots
The slots are described in corresponding the extended classes (see section Extends).
Extends
Class "tNN", directly.
Class "TRACDS", directly.
Methods
- copy
signature(x = "EMM"): Make a copy of the EMM object. Making explicit copies is necessary since the subclasses store information in environments which are not copied for regular assignements.- size
signature(x = "EMM"): Returns the size of the EMM (number of clusters/states).
References
M.H. Dunham, Y. Meng, J. Huang (2004): Extensible Markov Model, In: ICDM '04: Proceedings of the Fourth IEEE International Conference on Data Mining, pp. 371–374.
See Also
build,
fade,
merge_clusters,
plot,
prune,
rare_clusters,
rare_transitions,
remove_clusters,
remove_transitions,
remove_selftransitions,
recluster, and
score.