A Fuzzy Paradigmatic Clustering Algorithm
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F19%3A10243412" target="_blank" >RIV/61989100:27510/19:10243412 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/journal/ifac-papersonline/vol/52/issue/13" target="_blank" >https://www.sciencedirect.com/journal/ifac-papersonline/vol/52/issue/13</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ifacol.2019.11.559" target="_blank" >10.1016/j.ifacol.2019.11.559</a>
Alternative languages
Result language
angličtina
Original language name
A Fuzzy Paradigmatic Clustering Algorithm
Original language description
Clustering algorithms resume the datasets into few number of data points such as centroids or medoids, which explain the entire dataset briefly. In the domain of data-driven machine learning, the more precision with the clustering rule leads directly to more precise classification, prediction, and recognition. We propose an efficient clustering method, which applies the paradigms - mainly 3D Gaussian model - to estimate the optimum cluster number, cluster border, and congestion coordinates to model the datasets of the natural distributions. This approach considers both qualitative and quantitative features of the dataset and calculates the best scale to analyze it. We used fuzzy logic to compare the models with data, to generate and rank the hypotheses, and finally to reject or accept the assumptions. The proposed approach which is called Fuzzy Gaussian Paradigmatic Clustering (FGPC) algorithm is used as the basis of a fast (with the complexity order of O(n)) and robust algorithm for identifying fuzzy models.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50206 - Finance
Result continuities
Project
<a href="/en/project/GA18-15530S" target="_blank" >GA18-15530S: Aplikace vícekriteriálního programování na problémy v pružné výrobě a projektovém plánování: teorie a aplikace</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFAC-PapersOnLine. Volume 52, Issue 13
ISBN
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ISSN
2405-8963
e-ISSN
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Number of pages
6
Pages from-to
2360-2365
Publisher name
Elsevier
Place of publication
Amsterdam
Event location
Berlín
Event date
Aug 28, 2019
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000504282400400