Description Usage Arguments Value Constraints Examples
hclust
computes hierarchial
clustering on FLTable objects.
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d |
an object of class FLTable, can be wide or deep table |
method |
character. Allowed methods are "average", "single", "complete", "centroid" |
maxit |
maximum number of iterations |
excludeCols |
the comma separated character string of columns to be excluded |
classSpec |
list describing the categorical dummy variables |
whereconditions |
takes the where_clause as a string |
hclust
returns a list and replicates equivalent R output
from hclust
in stats package.The mapping table can be viewed
using object$mapping
if input is wide table.
Error is thrown if results cannot be fetched. maxit should be more than no.of. observations for algorithm to reach completion. Error is thrown if algorithm does not reach completion or more than one cluster is formed at any step.
If classSpec is not specified, the categorical variables are excluded from analysis by default.
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