An S4 class to represent FLHKMeans
object |
retrieves the cluster vector |
object |
retrieves the coordinates of the centroids |
object |
overloads the print function |
object |
total within sum of squares |
object |
within sum of squares |
object |
between sum of squares |
object |
total sum of squares |
object |
size vector |
centersA numeric vector containing the number of clusters, say k which should be greater than zero(centers > 0)
AnalysisIDA character output used to retrieve the results of analysis
wideToDeepAnalysisIDA character string denoting the intermediate identifier during widetable to deeptable conversion.
tableFLTable object given as input on which analysis is performed
resultsA list of all fetched components
deeptableA character vector containing a deeptable(either conversion from a widetable or input deeptable)
nstartthe initial number of random sets (nstart > 0)
mapTableA character string name for the mapping table in-database if input is wide-table.
levelsA numeric for the number of hierarchical levels which should be greater than zero.
maxitmaximal number of iterations for the hkmeans algorithm (maxit > 0).
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