leaderSO {clamix} | R Documentation |
Function to compute adapted leaders clustering for modal multi valued symbolic data. Data must be saved in a symData
object.
leaderSO(dataset, maxL, initial = NULL, stabil = 1e-06, report = TRUE, interact = TRUE,type = "d1")
dataset |
|
maxL |
number of clusters to produce |
initial |
provide initial leaders for clustering; if NULL they are selected randomly |
stabil |
stability of the results (how close should be the minimization functions of two algorithm steps to exit) |
report |
produce report while working |
interact |
do you want interaction during algorithm steps |
type |
switch describing dissimilarity measure used "d1" to "d6" or "d1w" (calculating with frequency distributions "fDist") (for measures see Table 1 in reference article below) |
Returned is a list of elements: list(clust=clust,leaders=L,R=R,p=p)
clust |
partition of clusterings |
leaders_symData |
|
R |
minimal error (distance to leader) for each cluster |
p |
sum of errors for each cluster |
Vladimir Batagelj
V. Batagelj, N. Kejzar, and S. Korenjak-Cerne. Clustering of Modal Valued Symbolic Data. ArXiv e-prints, 1507.06683, July 2015.
hclustSO
, create.symData
,print.symObject
data(popul06f) data(popul06m) datalist <- list("M"=popul06f,"F"=popul06m) dataset <- create.symData(datalist,"pDist") # type = "d1w" can be used for dataset created with "fDist" ## Not run: res2006 <- leaderSO(dataset,5) # Times repeat (if <=0, no repetitions) summary(res2006$leaders_symData) print(res2006$leaders_symData$SOs) ## End(Not run)