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Erschienen in:
MapReduce: From Elementary Circuits to Cloud Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction

verfasst von : Vesa A. Niskanen

Erschienen in: Uncertainty Modeling

Verlag: Springer International Publishing

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Abstract

A rapid soft computing method for dimensionality reduction of data sets is presented. Traditional approaches usually base on factor or principal component analysis. Our method applies fuzzy cluster analysis and approximate reasoning instead, and thus it is also viable to nonparametric and nonlinear models. Comparisons are drawn between the methods with two empiric data sets.

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Vorheriges Kapitel Why Is Linear Quantile Regression Empirically Successful: A Possible Explanation
Nächstes Kapitel Physics of the Mind, Dynamic Logic, and Monotone Boolean functions
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Metadaten
Titel
A Rapid Soft Computing Approach to Dimensionality Reduction in Model Construction
verfasst von
Vesa A. Niskanen
Copyright-Jahr
2017
Buch
Uncertainty Modeling

Print ISBN: 978-3-319-51051-4

Electronic ISBN: 978-3-319-51052-1

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-51052-1_12

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