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Deep matrix factorization with knowledge transfer for lifelong clustering and semi-supervised clustering
- Source :
- Information Sciences. 570:795-814
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- Clustering analysis aims to group unlabeled data in an unsupervised learning manner. However, most existing methods are tailored for single-task data and do not work for a sequence of task...
- Subjects :
- Sequence
Information Systems and Management
Computer science
business.industry
Lifelong learning
Machine learning
computer.software_genre
Computer Science Applications
Theoretical Computer Science
Task (project management)
Matrix decomposition
ComputingMethodologies_PATTERNRECOGNITION
Artificial Intelligence
Control and Systems Engineering
Unsupervised learning
Artificial intelligence
Cluster analysis
business
computer
Knowledge transfer
Software
Semi supervised clustering
Subjects
Details
- ISSN :
- 00200255
- Volume :
- 570
- Database :
- OpenAIRE
- Journal :
- Information Sciences
- Accession number :
- edsair.doi...........8751cfac52bbde6d4e649877693b07e5