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Simulated Annealing Based Quantum Inspired Automatic Clustering Technique

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241898" target="_blank" >RIV/61989100:27240/18:10241898 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/chapter/10.1007%2F978-3-319-74690-6_8" target="_blank" >https://link.springer.com/chapter/10.1007%2F978-3-319-74690-6_8</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-74690-6_8" target="_blank" >10.1007/978-3-319-74690-6_8</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Simulated Annealing Based Quantum Inspired Automatic Clustering Technique

  • Original language description

    Cluster analysis is a popular technique whose aim is to segregate a set of data points into groups, called clusters. Simulated Annealing (SA) is a popular meta-heuristic inspired by the annealing process used in metallurgy, useful in solving complex optimization problems. In this paper, the use of the Quantum Computing (QC) and SA is explored to design Quantum Inspired Simulated Annealing technique, which can be applied to compute optimum number of clusters for image clustering. Experimental results over a number of images endorse the effectiveness of the proposed technique pertaining to fitness value, convergence time, accuracy, robustness, and standard error. The paper also reports the computation results of a statistical superiority test, known as t-test. An experimental judgement to the classical technique has also be presented, which eventually demonstrates that the proposed technique outperforms the other. (C) 2018, Springer International Publishing AG.

  • 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

    2018

  • 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 723

  • ISBN

    978-3-319-74689-0

  • ISSN

    2194-5357

  • e-ISSN

    2194-5365

  • Number of pages

    9

  • Pages from-to

    73-81

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Káhira

  • Event date

    Feb 22, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article