A supervised classifier scheme based on clustering algorithms

A. Hernandez-Matamoros, E. Escamilla-Hernandez, K. Perez-Daniel, M. Nakano-Miyatake, H. Perez-Meana

Research output: Contribution to conferencePaperResearch

3 Citations (Scopus)

Abstract

© 2014 IEEE. This paper proposes a new classifier scheme based on classical clustering algorithms, such as the Batchelor & Wilkins y K-means algorithms which are trained in a similar form that the artificial neural network (ANN) or support vector machines (SVM). Proposed scheme has the advantage that if a new class is added, it is not necessary to train he classifier completely, but only add a new class. Experimental results show that the proposed scheme provides classification rates quite similar to those provided by the SVM with much less computational complexity.
Original languageAmerican English
DOIs
StatePublished - 1 Jan 2014
EventProceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014 -
Duration: 1 Jan 2014 → …

Conference

ConferenceProceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014
Period1/01/14 → …

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Clustering algorithms
Support vector machines
Classifiers
artificial neural network
train
Computational complexity
Neural networks
support vector machine
rate

Cite this

Hernandez-Matamoros, A., Escamilla-Hernandez, E., Perez-Daniel, K., Nakano-Miyatake, M., & Perez-Meana, H. (2014). A supervised classifier scheme based on clustering algorithms. Paper presented at Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014, . https://doi.org/10.1109/CONCAPAN.2014.7000404
Hernandez-Matamoros, A. ; Escamilla-Hernandez, E. ; Perez-Daniel, K. ; Nakano-Miyatake, M. ; Perez-Meana, H. / A supervised classifier scheme based on clustering algorithms. Paper presented at Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014, .
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Hernandez-Matamoros, A, Escamilla-Hernandez, E, Perez-Daniel, K, Nakano-Miyatake, M & Perez-Meana, H 2014, 'A supervised classifier scheme based on clustering algorithms' Paper presented at Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014, 1/01/14, . https://doi.org/10.1109/CONCAPAN.2014.7000404

A supervised classifier scheme based on clustering algorithms. / Hernandez-Matamoros, A.; Escamilla-Hernandez, E.; Perez-Daniel, K.; Nakano-Miyatake, M.; Perez-Meana, H.

2014. Paper presented at Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014, .

Research output: Contribution to conferencePaperResearch

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AB - © 2014 IEEE. This paper proposes a new classifier scheme based on classical clustering algorithms, such as the Batchelor & Wilkins y K-means algorithms which are trained in a similar form that the artificial neural network (ANN) or support vector machines (SVM). Proposed scheme has the advantage that if a new class is added, it is not necessary to train he classifier completely, but only add a new class. Experimental results show that the proposed scheme provides classification rates quite similar to those provided by the SVM with much less computational complexity.

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Hernandez-Matamoros A, Escamilla-Hernandez E, Perez-Daniel K, Nakano-Miyatake M, Perez-Meana H. A supervised classifier scheme based on clustering algorithms. 2014. Paper presented at Proceedings of the 2014 IEEE Central America and Panama Convention, CONCAPAN 2014, . https://doi.org/10.1109/CONCAPAN.2014.7000404