Late Fusion Incomplete Multi-View Clustering

Incomplete multi-view clustering optimally integrates a group of pre-specified incomplete views to improve clustering performance. Among various excellent solutions, multiple kernel kk-means with incomplete kernels forms a benchmark, which redefines the incomplete multi-view clustering as a joint op...

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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 41; číslo 10; s. 2410 - 2423
Hlavní autori:	Liu, Xinwang, Zhu, Xinzhong, Li, Miaomiao, Wang, Lei, Tang, Chang, Yin, Jianping, Shen, Dinggang, Wang, Huaimin, Gao, Wen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.10.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Clustering Clustering algorithms Convergence incomplete kernel learning Iterative algorithms Iterative methods Kernel Kernels Multiple kernel clustering multiple view learning Optimization Parameter sensitivity Partitioning algorithms Pattern analysis Permutations
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
On-line prístup:	Získať plný text
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