A study on using data clustering for feature extraction to improve the quality of classification

Maciej Piernik; Tadeusz Morzy

doi:10.1007/s10115-021-01572-6

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Title

A study on using data clustering for feature extraction to improve the quality of classification

Authors

Maciej Piernik (WIiT) ^{[ 1 ][ 2.3 ][ P ]}
Tadeusz Morzy (WIiT) ^{[ 1 ][ 2.3 ][ P ]}

^{[ 1 ]} Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | ^{[ P ]} employee

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication

2021

Published in

Knowledge and Information Systems

Journal year: 2021 | Journal volume: vol. 63 | Journal number: iss. 7

Article type

scientific article

Publication language

english

Keywords

EN

clustering
feature extraction
classification

Date of online publication

04.05.2021

Pages (from - to)

1771 - 1805

DOI

10.1007/s10115-021-01572-6

URL

https://link.springer.com/article/10.1007%2Fs10115-021-01572-6

License type

CC BY (attribution alone)

Open Access Mode

czasopismo hybrydowe - umowa transformacyjna

Open Access Text Version

final published version

Date of Open Access to the publication

in press

Ministry points / journal

100.0

Ministry points / journal in years 2017-2021

100.0

Impact Factor

2.531

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