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Dimensionality Reduction: From Fuzzy Partitions to F-Transforms

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F21%3AA22027HY" target="_blank" >RIV/61988987:17610/21:A22027HY - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1007/978-3-030-47124-8_32" target="_blank" >https://doi.org/10.1007/978-3-030-47124-8_32</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-47124-8_32" target="_blank" >10.1007/978-3-030-47124-8_32</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Dimensionality Reduction: From Fuzzy Partitions to F-Transforms

  • Original language description

    The appropriate representation of high-dimensional data is the main focus of machine learning, pattern recognition andcomputer vision. With the same motivation, the F-transform uses fuzzy partitions in order to establish a compressed representation of data. Two distinguished properties of the F-transform: the best approximation in a local sense and dimensionality reduction contributed to the fact that the F-transform has many successful applications. We show that the technique of F-transform fully agrees with the technique of dimensionality reduction, based on Laplacian eigenmaps. To justify this claim, we characterize the processed by the F-transform data in terms of the adjacency graph that reflects their (data) intrinsic geometry. An application to the problem of image restoration is given.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA18-06915S" target="_blank" >GA18-06915S: New approaches to aggregation operators in analysis and processing of data</a><br>

  • Continuities

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

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Recent Developments and the New Direction in Soft-Computing Foundations and Applications

  • ISBN

    978-3-030-47123-1

  • Number of pages of the result

    12

  • Pages from-to

    399-411

  • Number of pages of the book

    576

  • Publisher name

    Springer, Cham

  • Place of publication

    Switzerland

  • UT code for WoS chapter