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.
Plot function that creates a ggplot2 based density map of the object scores and a scatter plot of both the attribute scores and the centroids. Creates a .png file in the working directory.
Implements Cluster MCA (Hwang, Dillon and Takane, 2006) which combines Multiple Correspondence Analysis for dimension reduction with k-means for clustering.
Implements iFCB (Iodice D'Enza and Palumbo, 2013) which combines Nonsymmetric Correspondence Analysis for dimension reduction with k-means for clustering.
providing 
.