A Semi-Supervised Self-Organizing Map for Clustering and Classification

1 Jul 2019Pedro H. M. BragaHansenclever F. Bassani

There has been an increasing interest in semi-supervised learning in the recent years because of the great number of datasets with a large number of unlabeled data but only a few labeled samples. Semi-supervised learning algorithms can work with both types of data, combining them to obtain better performance for both clustering and classification... (read more)

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