Classification of Multivariate data Using Distribution Mapping Exponent.

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F03%3A06030135" target="_blank" >RIV/67985807:_____/03:06030135 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Classification of Multivariate data Using Distribution Mapping Exponent.

Original language description

We introduce distribution-mapping exponent that is something like effective dimensionality of multidimensional space. The method for classification of multivariate data is based on local estimate of distribution mapping exponent q for each point x. It isshown that the sum of reciprocals of q-th power of distances of all points of a given class can be used as the probability density estimate.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BA - General mathematics

OECD FORD branch

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Project

<a href="/en/project/LN00B096" target="_blank" >LN00B096: Center for Applied Cybernetics</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

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

Article name in the collection

Proceedings of the International Conference in Memoriam John von Neumann.

ISBN

963-7154-21-3

ISSN

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e-ISSN

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Number of pages

14

Pages from-to

155-168

Publisher name

Budapest Muszaki Foiskola (Budapest Polytechnic)

Place of publication

Budapest

Event location

Budapest [HU]

Event date

Dec 12, 2003

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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