# A learning algorithm combining functional discriminant coordinates and functional principal components

Tomasz Górecki; Mirosław Krzyśko

Discussiones Mathematicae Probability and Statistics (2014)

- Volume: 34, Issue: 1-2, page 127-141
- ISSN: 1509-9423

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topTomasz Górecki, and Mirosław Krzyśko. "A learning algorithm combining functional discriminant coordinates and functional principal components." Discussiones Mathematicae Probability and Statistics 34.1-2 (2014): 127-141. <http://eudml.org/doc/270840>.

@article{TomaszGórecki2014,

abstract = {A new type of discriminant space for functional data is presented, combining the advantages of a functional discriminant coordinate space and a functional principal component space. In order to provide a comprehensive comparison, we conducted a set of experiments, testing effectiveness on 35 functional data sets (time series). Experiments show that constructed combined space provides a higher quality of classification of LDA method compared with component spaces.},

author = {Tomasz Górecki, Mirosław Krzyśko},

journal = {Discussiones Mathematicae Probability and Statistics},

keywords = {functional principal components; functional discriminant coordinates},

language = {eng},

number = {1-2},

pages = {127-141},

title = {A learning algorithm combining functional discriminant coordinates and functional principal components},

url = {http://eudml.org/doc/270840},

volume = {34},

year = {2014},

}

TY - JOUR

AU - Tomasz Górecki

AU - Mirosław Krzyśko

TI - A learning algorithm combining functional discriminant coordinates and functional principal components

JO - Discussiones Mathematicae Probability and Statistics

PY - 2014

VL - 34

IS - 1-2

SP - 127

EP - 141

AB - A new type of discriminant space for functional data is presented, combining the advantages of a functional discriminant coordinate space and a functional principal component space. In order to provide a comprehensive comparison, we conducted a set of experiments, testing effectiveness on 35 functional data sets (time series). Experiments show that constructed combined space provides a higher quality of classification of LDA method compared with component spaces.

LA - eng

KW - functional principal components; functional discriminant coordinates

UR - http://eudml.org/doc/270840

ER -

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