| PULS.object {puls} | R Documentation |
PULS Tree Object
Description
The structure and objects contained in PULS, an object returned from
the PULS() function and used as the input in other functions in the
package.
Value
- frame
Data frame in the form of a
tibble::tibble()representing a tree structure with one row for each node. The columns include:- number
Index of the node. Depth of a node can be derived by
number %/% 2.- var
Name of the variable used in the split at a node or
"<leaf>"if it is a leaf node.- n
Cluster size, the number of observations in that cluster.
- wt
Weights of observations. Unusable. Saved for future use.
- inertia
Inertia value of the cluster at that node.
- bipartsplitrow
Position of the next split row in the data set (that position will belong to left node (smaller)).
- bipartsplitcol
Position of the next split variable in the data set.
- inertiadel
Proportion of inertia value of the cluster at that node to the inertia of the root.
- medoid
Position of the data point regarded as the medoid of its cluster.
- loc
y-coordinate of the splitting node to facilitate showing on the tree. See
plot.PULS()for details.- inertia_explained
Percent inertia explained as described in Chavent (2007). It is
1 - (sum(current inertia)/inertial[1]).- alt
Indicator of an alternative cut yielding the same reduction in inertia at that split.
- membership
Vector of the same length as the number of rows in the data, containing the value of
frame$numbercorresponding to the leaf node that an observation falls into.- dist
Distance matrix calculated using the method indicated in
distmethodargument ofPULS().- terms
Vector of subregion names in the data that were used to split.
- medoids
Named vector of positions of the data points regarded as medoids of clusters.
- alt
Indicator of having an alternate splitting route occurred when splitting.
References
Chavent, M., Lechevallier, Y., & Briant, O. (2007). DIVCLUS-T: A monothetic divisive hierarchical clustering method. Computational Statistics & Data Analysis, 52(2), 687-701. doi: 10.1016/j.csda.2007.03.013.