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Local Estimate of Distribution Mapping Exponent for Classification of Multivariate Data

Result description

The method proposed is based on notion of distribution mapping exponent and its local estimate q for each point. It is shown that the sum of reciprocals of q-th power of distances can be used as the probability density estimate. The classification quality was tested using data from UCI Machine Learning Repository. The method has no tuning parameters.

Keywords

multivariate dataclassificationprobability distribution mapping functiondistribution mapping exponent

The result's identifiers

Alternative languages

  • Result language

    angličtina

  • Original language name

    Local Estimate of Distribution Mapping Exponent for Classification of Multivariate Data

  • Original language description

    The method proposed is based on notion of distribution mapping exponent and its local estimate q for each point. It is shown that the sum of reciprocals of q-th power of distances can be used as the probability density estimate. The classification quality was tested using data from UCI Machine Learning Repository. The method has no tuning parameters.

  • Czech name

    Lokální odhad Exponent mapovací funkce rozdělení pro klasifikaci mnohorozměrných dat

  • Czech description

    Navržená metoda je založena na pojmu exponentu mapovací funkce rozdělení a jeho lokálním odhadu q pro každý bod. Ukazuje se, že součet převrácených hodnot vzdáleností umocněných na q-tou lze použít pro odhad hustoty rozdělení. Kvalita klasifikace byla testována a porovnána s jinými metodami na mnohorozměrných datech z UCI MLR. Metoda nemá žádné nastavovací parametry.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

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

    Engineering of Intelligent Systems

  • ISBN

    3-906454-35-5

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    1-6

  • Publisher name

    ICSC

  • Place of publication

    Millet

  • Event location

    Madeira

  • Event date

    Feb 29, 2004

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article