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
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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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
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UT code for WoS article
000510955100012
EID of the result in the Scopus database
2-s2.0-85073818583