fuzzyMCAk

Description

Implements Fuzzy Cluster MCA (Hwang, Dillon and Takane, 2010) which combines Multiple Correspondence Analysis for dimension reduction with fuzzy c-means (Bezdek, 1981) for clustering.

Usage

fuzzyMCAk(data,nclus=3,ndim=2,nstart=1)

Arguments

Value

Author(s)

Markos, A. amarkos@gmail.com, Iodice D'Enza , A. iodicede@gmail.com and Van de Velden, M. vandevelden@ese.eur.nl

References

Bezdek, J. C. (1981). Pattern recognition with fuzzy objective function algorithms. Kluwer Academic Publishers.

Hwang, H., Dillon, W. R. and Takane, Y. (2010). Fuzzy Cluster Multiple Correspondence Analysis. Behaviormetrika, 37(2), 111-133.

See Also

groupals, iFCB, MCAk

Examples

     data(underwear)  
     outfMCAk <- fuzzyMCAk(underwear[c(1:200),c(1:2)],nclus=3,ndim=2,nstart=1)
     plotrd(outfMCAk)
     

Results