Therefore, this paper proposes a deep clustering algorithm based on contractive autoencoder and self-paced learning. In the pre-training stage, robust features are learned by using a trained ...

Autoencoders (AEs) are unsupervised learning models that extract data features from large datasets by compressing the input into a lower-dimensional representation and then reconstructing the original ...

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Cluster analysis is a common analysis method in the field of data mining, which aims to partition unlabeled input data into different clusters through a predefined similarity measure. With the advent ...