Efficient Multiple Kernel k-Means Clustering With Late Fusion

Efficient Multiple Kernel k-Means Clustering With Late Fusion

The recently proposed multiple-kernel clustering algorithms have demonstrated promising performance in various applications. However, most of the existing methods suffer from high computational complexity and intensive time cost. To address this issue, we propose to fulfill multiple kernel k-means c...

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Bibliographic Details
Main Authors: Siwei Wang, En Zhu, Jingtao Hu, Miaomiao Li, Kaikai Zhao, Ning Hu, Xinwang Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Multiple kernel clustering
multiple view clustering
late fusion
Online Access:https://ieeexplore.ieee.org/document/8673554/

Internet

https://ieeexplore.ieee.org/document/8673554/

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