An adaptive fuzzy c-means clustering-based mixtures of experts model for unlabeled data classification

摘要

Compared with labeled data, unlabeled data are more readily available. Currently, classification of unlabeled data is an open issue, especially for the case of unknown class number. In this paper, we propose an adaptive fuzzy c-means (FCM)-based mixtures