All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

On Vagueness and Hierarchical Clustering

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F04%3APU46153" target="_blank" >RIV/00216305:26210/04:PU46153 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    čeština

  • Original language name

    On Vagueness and Hierarchical Clustering

  • Original language description

    Clustering of objects is one of branches of data mining. Recently are the processed data more and more described by vague values. It seems useful to cluster these data respecting their vagueness, too. The vagueness is described by fuzzy sets. This paperconcerns with clustering of such data and is dealing with the impact of vagueness to hierarchical clustering. This paper follows papers presented at previous conferences (Zittau 2000, 2001, 2002) and especially paper ?Fuzzy Objects and Fuzzy Clustering? (Zittau 2000) describing clustering of fuzzy objects using extension principle.

  • Czech name

    On Vagueness and Hierarchical Clustering

  • Czech description

    Clustering of objects is one of branches of data mining. Recently are the processed data more and more described by vague values. It seems useful to cluster these data respecting their vagueness, too. The vagueness is described by fuzzy sets. This paperconcerns with clustering of such data and is dealing with the impact of vagueness to hierarchical clustering. This paper follows papers presented at previous conferences (Zittau 2000, 2001, 2002) and especially paper ?Fuzzy Objects and Fuzzy Clustering? (Zittau 2000) describing clustering of fuzzy objects using extension principle.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2004

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    11th Zittau Fuzzy Colloquium

  • ISBN

    3-9808089-5-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    126-131

  • Publisher name

    n

  • Place of publication

    Zittau

  • Event location

    Zittau

  • Event date

    Nov 8, 2004

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article