Clusterization-class: ~ Class: Clusterization ~
Description
An object of class Clusterization is a partition of
trajectories in subgroups.
The object also contains a certain number of information like the
percentage of trajectories that each group contains or the Calinski criterion.Objects from the Class
Objects are not intend to be created by users. Clusterization are created
by kml and directly added to a "ClusterizLongData" object.validation rules
A class Clusterization object must follow some rules to be valid:
- All the slot should be either empty, or non empty.
nbClustershas to be lower or equal to 10 (ten clusters maximum).clustersandidhave to have the same length.clustershas to be a factor inLETTERS[1:nbCluster](withnbClusterslower than 10).table(clusters)has to be in the reverse order
(clusters are sorted form the biggest to the smallest).idcannot be duplicated.- an
idcannot be missing.
Details
The partitioning of an ensemble of trajectories is given by the couple
(id,clusters).
id must correspond to id of an object of class ClusterizLongData ; the vector clusters
then sets the group that each individual belongs to.