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 |
centers
A numeric vector containing the number of clusters, say k which should be greater than zero(centers > 0)
AnalysisID
A character output used to retrieve the results of analysis
wideToDeepAnalysisID
A character string denoting the intermediate identifier during widetable to deeptable conversion.
table
FLTable object given as input on which analysis is performed
results
A list of all fetched components
deeptable
A character vector containing a deeptable(either conversion from a widetable or input deeptable)
nstart
the initial number of random sets (nstart > 0)
mapTable
A character string name for the mapping table in-database if input is wide-table.
levels
A numeric for the number of hierarchical levels which should be greater than zero.
maxit
maximal number of iterations for the hkmeans algorithm (maxit > 0).
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.