PSO and DE based Novel Quantum Inspired Automatic Clustering Techniques

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10238746" target="_blank" >RIV/61989100:27240/17:10238746 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/17:10238746
Result on the web
<a href="http://ieeexplore.ieee.org/document/8234522/authors" target="_blank" >http://ieeexplore.ieee.org/document/8234522/authors</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICRCICN.2017.8234522" target="_blank" >10.1109/ICRCICN.2017.8234522</a>

Result language
angličtina
Original language name
PSO and DE based Novel Quantum Inspired Automatic Clustering Techniques
Original language description
Clustering, a well-known technique, is used to divide a data set into number of groups, called clusters. Differential evolution and particle swarm optimization are robust, fast and very effective search techniques. To increase computational capability, two different quantum inspired meta-heuristics for automatic clustering, have been proposed here. An application of quantum inspired techniques has been demonstrated for automatic clustering of image data sets. These techniques are able to find optimal number of clusters "on the run" for an image data sets. As the comparative research, a comparison has been made between the proposed techniques and their conventional counterparts for four images data set. Effectiveness of the proposed techniques has been exhibited against the fitness value, standard deviation and mean of the fitness, standard error and computational time. Finally, two separate statistical superiority test, referred to as t-test and Friedman test have been performed to prove the superiority the of proposed approaches in their favor.
Czech name
—
Czech description
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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)

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
3rd International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN) : proceedings : November 3-5, 2017, Calcutta, India
ISBN
978-1-5386-1931-5
ISSN
—
e-ISSN
neuvedeno
Number of pages
6
Pages from-to
285-290
Publisher name
IEEE
Place of publication
Piscataway
Event location
Kalkata
Event date
Nov 3, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000426611300052

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