A hybrid heuristic algorithm for evolving models in simultaneous scenarios of classification and clustering
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
http://link.springer.com/article/10.1007/s10115-019-01336-3/fulltext.html
Reference46 articles.
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2. Amini A, Saboohi H, Herawan T, Wah TY (2016) Mudi-stream: a multi density clustering algorithm for evolving data stream. J Netw Comput Appl 59:370–385
3. Basu S (2004) A comparison of inference techniques for semi-supervised clustering with Hidden Markov random fields. In: Proceedings of the ICML-2004 workshop on statistical relational learning and its connections to other fields
4. Bishop C (2006) Pattern recognition and machine learning. Springer, Cambridge
5. Bordignon F, Gomide F (2014) Uninorm based evolving neural networks and approximation capabilities. Neurocomputing 127:13–20
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