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A Rough-fuzzy C-means using information entropy for discretized violent crimes data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092817" target="_blank" >RIV/61989100:27240/14:86092817 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989100:27740/14:86092817

  • Result on the web

    <a href="http://dx.doi.org/10.1109/HIS.2013.6920495" target="_blank" >http://dx.doi.org/10.1109/HIS.2013.6920495</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/HIS.2013.6920495" target="_blank" >10.1109/HIS.2013.6920495</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Rough-fuzzy C-means using information entropy for discretized violent crimes data

  • Original language description

    This paper presents the factor clustering analysis for violent crimes. The efficiency of Rough-fuzzy C-means algorithm is affected by the numbers of clusters, and not all centroids are beneficial. The analyzing of violent crime data does not need human intervention for impartiality. The information entropy is a helpful tool for resolving those issues. In this paper, a novel discrete Rough-fuzzy C-means based on information entropy algorithm (DRFCMI) is proposed, which can obtain typical conclusions objectively. Experimental results illustrate that our proposed method is efficient. 2013 IEEE.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 2013 Thirteenth International Conference on Hybrid Intelligent Systems (HIS 2013) : Yassmine Hammamet, Tunisia, 04-06 December, 2013

  • ISBN

    978-1-4799-2439-4

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    23-27

  • Publisher name

    IEEE

  • Place of publication

    New York

  • Event location

    Yassmine Hammamet

  • Event date

    Dec 4, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article