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
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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
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
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