A maximal-clique-based clustering approach for multi-observer multi-view data by using k-nearest neighbor with S-pseudo-ultrametric induced by a fuzzy similarity
Partitioning multi-view data is a recent challenge in clustering methods, which traditionally consider single-view data. In clustering techniques, finding the similarity or distance between objects, handled by metrics in Rn, plays a central role in community detection. Under this framework, differen...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Springer Science and Business Media Deutschland GmbH
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/112041/ https://link.springer.com/article/10.1007/s00521-024-09560-x |
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