Co-Adjustment Learning for Co-Clustering

Co-clustering simultaneously performs clustering on the sample and feature dimensions of the data matrix, so it can obtain better insight into the data than traditional clustering. Adjustment learning extracts valuable information from chunklets for unsupervised cluster learning in specific scenario...

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Veröffentlicht in:	Cognitive computation 2021-03, Vol.13 (2), p.504-517
Hauptverfasser:	Zhang, Ji, Wang, Hongjun, Huang, Shudong, Li, Tianrun, Jin, Peng, Deng, Ping, Zhao, Qigang
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Clustering Computation by Abstract Devices Computational Biology/Bioinformatics Computer Science Knowledge Learning Matrix algebra Matrix partitioning Partitions (mathematics) Representations Supervised learning
Online-Zugang:	Volltext
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