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Conference papers
Database Classification by Hybrid Method combining Supervised and Unsupervised Learnings
Abstract : This paper presents a new hybrid learning algorithm for unsupervised classification tasks. We combined Fuzzy c-means learning and the supervised version of Minimerror to develop a hybrid incremental strategy allowing unsupervised classifications. We applied this new approach to a real-world database in order to know if the information contained in unlabeled signals of a Geographic Information System (GIS), allow to well classify it. Finally, we compared our results to a classical classification obtained by a multilayer perceptron.
Cited literature [8 references]
https://hal.inria.fr/inria-00107724
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Thursday, October 19, 2006 - 9:07:02 AM
Last modification on : Friday, February 4, 2022 - 3:15:45 AM
Long-term archiving on: : Wednesday, March 29, 2017 - 12:52:15 PM
Contributor : Publications Loria Connect in order to contact the contributor
Submitted on : Thursday, October 19, 2006 - 9:07:02 AM
Last modification on : Friday, February 4, 2022 - 3:15:45 AM
Long-term archiving on: : Wednesday, March 29, 2017 - 12:52:15 PM