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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • 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