Robust deep fuzzy K-means clustering for image data

Xiaoling Wu, Yu-Feng Yu, Long Chen, Weiping Ding, Yingxu Wang

Abstract: Highlights•Embedding clustering into deep convolutional autoencoder to learn compact and representative features.•Designing the Laplacian regularization to constrain the membership matrix for locality preserving.•Introducing the adaptive loss function to enhance the clustering robustness.•Presenting an effective algorithm to optimize the proposed model.