Description Usage Arguments Details Value Author(s) References See Also Examples
Compute clustering with adapted hierarchical clustering method, adapted stands for different error functions that are computed between units and current leaders
1 |
x |
Dataframe or matrix of units (in rows). Rows can represent probabilities or frequencies. |
as.probs |
|
err.measure |
String for error function that will be used to calculate the error between current leader and a unit. Possibilities are from d1 to d7 (but not d2, see reference). |
penalty |
Parameter to specify how should division by zero be treated. |
nleaders |
How many leaders should be saved ( |
fromLeaders |
|
Function generates dissimilarity matrix (according to error function) and then in each step agglomerates the nearest two units, later clusters. This stops when all units are in the same cluster. Every step dissimilarity matrix is recomputed according to error functions (see reference for details).
The result is a list of
object |
S3 object used for hierarchical clustering procedure from base package |
saved_leaders |
Matrix of |
...
Kejzar, N., Korenjak-Cerne, S. and Batagelj, V.
N. Kejzar, S. Korenjak-Cerne, and V. Batagelj: Clustering of distributions : A case of patent citations.J. classif., 2011, 28, doi: 10.1007/s00357-011-9084-x.
leaders
from package clustDDist
,hclust
from standard package, agnes
from package cluster
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