Quantum-Inspired Bat Optimization Algorithm for Automatic Clustering of Grayscale Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F19%3A10244584" target="_blank" >RIV/61989100:27240/19:10244584 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007%2F978-981-13-6783-0_9" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-981-13-6783-0_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-981-13-6783-0_9" target="_blank" >10.1007/978-981-13-6783-0_9</a>
Alternative languages
Result language
angličtina
Original language name
Quantum-Inspired Bat Optimization Algorithm for Automatic Clustering of Grayscale Images
Original language description
This paper introduces a quantum-inspired framework with the bat optimization algorithm for automatic clustering of image datasets. The aim of this work is to find out the optimal number of clusters from an image dataset on a run. A comparison has been produced between the quantum-inspired bat optimization algorithm and its classical counterpart. As a result, it is seen that the quantum-inspired version outperforms its classical counterpart. Computational experiments have been conducted on four Berkeley image datasets. (C) 2019, Springer Nature Singapore Pte Ltd.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 922
ISBN
978-981-13-6782-3
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
13
Pages from-to
89-101
Publisher name
Springer
Place of publication
Singapur
Event location
Kalkata
Event date
Nov 21, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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