Self-Paced Multi-View Clustering via a Novel Soft Weighted Regularizer

Multi-view clustering (MVC), which can exploit complementary information of different views to enhance the clustering performance, has attracted people's increasing attentions in recent years. However, existing multi-view clustering methods typically solve a non-convex problem, therefore are ea...

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Bibliografiske detaljer
Main Authors: Zongmo Huang, Yazhou Ren, Wenli Liu, Xiaorong Pu
Format: Article
Sprog:English
Udgivet: IEEE 2019-01-01
Serier:IEEE Access
Fag:
Online adgang:https://ieeexplore.ieee.org/document/8907857/