iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations

L. E. B. da Silva; Nagasharath Rayapati; Donald C. Wunsch

doi:10.1109/TNNLS.2022.3160381

iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations

L. E. B. da Silva
, Nagasharath Rayapati
, Donald C. Wunsch

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	3160381
Pages (from-to)	9757-9770
Number of pages	14
Journal	IEEE Transactions on Neural Networks and Learning Systems
Volume	34
Issue number	12
DOIs	https://doi.org/10.1109/TNNLS.2022.3160381
State	Published - Dec 1 2023

ASJC Scopus Subject Areas

Software
Computer Science Applications
Computer Networks and Communications
Artificial Intelligence

Keywords

Adaptive resonance theory (ART)
adaptive resonance theory predictive mapping (ARTMAP)
clustering
incremental cluster validity indices (iCVIs)
validation

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10.1109/TNNLS.2022.3160381

Cite this

da Silva, L. E. B., Rayapati, N., & Wunsch, D. C. (2023). iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations. IEEE Transactions on Neural Networks and Learning Systems, 34(12), 9757-9770. Article 3160381. https://doi.org/10.1109/TNNLS.2022.3160381

iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations. / da Silva, L. E. B.; Rayapati, Nagasharath; Wunsch, Donald C.
In: IEEE Transactions on Neural Networks and Learning Systems, Vol. 34, No. 12, 3160381, 01.12.2023, p. 9757-9770.

Research output: Contribution to journal › Article › peer-review

da Silva, LEB, Rayapati, N & Wunsch, DC 2023, 'iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations', IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 12, 3160381, pp. 9757-9770. https://doi.org/10.1109/TNNLS.2022.3160381

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iCVI-ARTMAP: Using Incremental Cluster Validity Indices and Adaptive Resonance Theory Reset Mechanism to Accelerate Validation and Achieve Multiprototype Unsupervised Representations

ASJC Scopus Subject Areas

Keywords

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