Characteristics of a statistical fuzzy grade-of-membership model in the context of unsupervised data clustering

摘要

We have elucidated the position of Woodbury's (1974) statistical fuzzy grade-of-membership (GoM) model in the unsupervised clustering domain. This implementation of the model is shown to operate not only on multivariate categorical data, but on permuted, or encoded, data as well.