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Visualizing Correlations Between EEG Features by Two Different Methods

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00199167" target="_blank" >RIV/68407700:21230/12:00199167 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Visualizing Correlations Between EEG Features by Two Different Methods

  • Original language description

    In our contribution, we present two different meth-ods for visualizing correlations between features. This can be very useful when we have no prior information about a classification of a data and we want to reduce number of features. The first method iscorrelation-based neural gas which is derived from the neural gas algorithm. The second method finds a global optima for the coordinates using a particle swarm optimization heuristice.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2012

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    BioDat 2012 - Conference on Advanced Methods of Biological Data and Signal Processing

  • ISBN

    978-80-01-05153-5

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    1-4

  • Publisher name

    České vysoké učení technické v Praze

  • Place of publication

    Praha

  • Event location

    Praha

  • Event date

    Nov 27, 2012

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article