as.crisp: Conversion from Fuzzy to Crisp Clustering

In WeightedCluster: Clustering of Weighted Data and Robust Clustering

Conversion from Fuzzy to Crisp Clustering

Description

The function converts fuzzy clusterings into crisp ones.

Usage

as.crisp(clara)

Arguments

clara

The results of seqclararange

Details

A fuzzy clustering is converted to a crisp one by assinging each observation to the cluster showing the highest membership probability.

Value

See seqclararange for details

Examples

## Not run: 
	# load illustrative data
	data(mvad)

	# Creating a state sequence object
	mvad.seq <- seqdef(mvad[1:200, 17:86])

	# Fuzzy clustering

	mvadFuzzy <- seqclararange(mvad.seq, R = 3, sample.size = 20, kvals = 2:3, 
	  method="fuzzy", seqdist.args = list(method = "HAM"), 
		parallel=FALSE)
	 
	# Conversion to crisp

	mvadCrisp <- as.crisp(mvadFuzzy)

	# Plotting sequences in 3 groups

	seqdplot(mvad.seq, 
			 group = mvadCrisp$clustering$cluster3, 
			 border = NA)

## End(Not run)

WeightedCluster documentation built on April 27, 2026, 3:04 a.m.