Functional Representation of Prototypes in LVQ and Relevance Learning

Friedrich Melchert; Udo Seiffert; Michael Biehl

doi:10.1007/978-3-319-28518-4_28

Functional Representation of Prototypes in LVQ and Relevance Learning

Friedrich Melchert
, Udo Seiffert
, Michael Biehl

Intelligent Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

8 Citations (Scopus)

Original language	English
Title of host publication	Advances in Self-Organizing Maps and Learning Vector Quantization
Editors	Erzsébet Merényi, Michael J. Mendenhall, Patrick O'Driscoll
Publisher	Springer
Pages	317-327
Number of pages	11
Volume	428
ISBN (Print)	978-3-319-28517-7
DOIs	https://doi.org/10.1007/978-3-319-28518-4_28
Publication status	Published - Jan-2016

Publication series

Name	Advances in Intelligent Systems and Computing
Publisher	Springer International Publishing

Keywords

Classification
Supervised learning
Functional data
Learning vector quantization
Relevance learning
Dimensionality reduction

Access to Document

10.1007/978-3-319-28518-4_28

http://dx.doi.org/10.1007/978-3-319-28518-4_28

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Persistent link

Cite this

Melchert, F., Seiffert, U., & Biehl, M. (2016). Functional Representation of Prototypes in LVQ and Relevance Learning. In E. Merényi, M. J. Mendenhall, & P. O'Driscoll (Eds.), Advances in Self-Organizing Maps and Learning Vector Quantization (Vol. 428, pp. 317-327). (Advances in Intelligent Systems and Computing). Springer. https://doi.org/10.1007/978-3-319-28518-4_28

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language = "English",

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Functional Representation of Prototypes in LVQ and Relevance Learning. / Melchert, Friedrich; Seiffert, Udo; Biehl, Michael.
Advances in Self-Organizing Maps and Learning Vector Quantization. ed. / Erzsébet Merényi; Michael J. Mendenhall; Patrick O'Driscoll. Vol. 428 Springer, 2016. p. 317-327 (Advances in Intelligent Systems and Computing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Seiffert, Udo

AU - Biehl, Michael

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KW - Classification

KW - Supervised learning

KW - Functional data

KW - Learning vector quantization

KW - Relevance learning

KW - Dimensionality reduction

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DO - 10.1007/978-3-319-28518-4_28

M3 - Conference contribution

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T3 - Advances in Intelligent Systems and Computing

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