my_jack: Partition sorting based on Jaccard index

In doMIsaul: Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning

Description

Evaluates if all partitions are the same (and thus no consensus algorithm needed) and may pre-select partitions depending on a threshold on the Jaccard index

Usage

my_jack(data, mcons.JAC.sel = 0)

Arguments

data	dataframe containing the partitions (factors). Specifically, each column must be a partition and must be a factor.
mcons.JAC.sel	Numeric (in (0, 1)), minimum Jaccard index value between partitions to keep them (0 = all partitions kept).

Value

dataframe of partitions with only the partitions satisfying the conditions kept.

doMIsaul documentation built on Oct. 19, 2021, 1:07 a.m.