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F-Mapper: A Fuzzy Mapper clustering algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246978" target="_blank" >RIV/61989100:27240/20:10246978 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0950705119304794?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0950705119304794?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.knosys.2019.105107" target="_blank" >10.1016/j.knosys.2019.105107</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    F-Mapper: A Fuzzy Mapper clustering algorithm

  • Original language description

    Using topology in data analysis, known as Topological Data Analysis (TDA), is now a promising new area of data mining research. One of the important and foundational tools of TDA is the Mapper algorithm. During the past two decades, this algorithm has proven its useful and robust abilities in extracting insights and meaningful information from high-dimensional datasets. Nevertheless, several alterations in the choices of parameters, such as lens, cover and clustering, can be used to develop this algorithm. In this paper, we propose the F-Mapper algorithm, based on the foundation of the Mapper algorithm, to solve the problem of automating when dividing cover intervals with an arbitrary percentage of overlap. To clarify the efficiency of this enhanced algorithm, experiments were carried out on three datasets, including the Unit Circle, Reaven and Miller Diabetes, and NKI Breast Cancer. The experimental results will be analyzed and compared with those of the original method, the Mapper algorithm, through the output image and silhouette coefficient score in the evaluation of clustering. (C) 2019 Elsevier B.V.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Knowledge-Based Systems

  • ISSN

    0950-7051

  • e-ISSN

  • Volume of the periodical

    189

  • Issue of the periodical within the volume

    FEb

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    12

  • Pages from-to

  • UT code for WoS article

    000510955100012

  • EID of the result in the Scopus database

    2-s2.0-85073818583