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Comparison Of Modern Clustering Algorithms For Two-Dimensional Data

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F14%3AA1501BBF" target="_blank" >RIV/61988987:17310/14:A1501BBF - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparison Of Modern Clustering Algorithms For Two-Dimensional Data

  • Original language description

    Cluster analysis or clustering is a task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is the main taskof exploratory data mining and a common technique for statistical data analysis used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, and bioinformatics.The topic of this paper is modern methods of clustering. The paper describes the theory needed to understand the principle of clustering and descriptions of algorithms used with clustering, followed by a comparison of the chosen methods.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

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 28th European Conference on Modelling and Simulation ECMS 2014

  • ISBN

    978-0-9564944-8-1

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    346-451

  • Publisher name

    European Council for Modelling and Simulation

  • Place of publication

    Sbr.-Dudweiler, Germany

  • Event location

    Brescia, Italy

  • Event date

    May 27, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article