Efficiency of the t-distribution stochastic neighbor embedding technique for detailed visualization and modeling interactions between agricultural soil quality indicators
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F21%3A85810" target="_blank" >RIV/60460709:41210/21:85810 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1537511021002178?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1537511021002178?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.biosystemseng.2021.08.033" target="_blank" >10.1016/j.biosystemseng.2021.08.033</a>
Alternative languages
Result language
angličtina
Original language name
Efficiency of the t-distribution stochastic neighbor embedding technique for detailed visualization and modeling interactions between agricultural soil quality indicators
Original language description
Dimensionality reduction is important for revealing important details that may be useful in decision making. Although different dimensionality reduction methods have been applied in several soil based studies, Kohonen self-organizing map neural network (KSOM-NN) has attracted significant attention from researchers because of the quality of data visualization and interpretation. However, there is a dearth of studies that compare KSOM-NN and other robust data reduction techniques such as the t distribution stochastic neighbor embedding (t-SNE) method to improve visualization and interpretation of the relationships between soil quality indicators in agricultural soil. This study compares the above mentioned methods for characterizing soil quality indicators including particle size distribution, soil organic matter SOM, cation exchange capacity CEC, soil reaction pH, electrical conductivity EC, zinc Zn, iron Fe, manganese Mn, potassium K and phosphorus P in agricultural dryland. There were strongly posit
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
40104 - Soil science
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Biosystems Engineering
ISSN
1537-5110
e-ISSN
1537-5129
Volume of the periodical
210
Issue of the periodical within the volume
oct
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
282-298
UT code for WoS article
000697667200004
EID of the result in the Scopus database
2-s2.0-85114776197