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1 Ergebnisse
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Supervised and Unsupervised Learning Approaches for Charact..:
, In:
2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)
,
Flores, Janelle O.
;
Dayo, Justin Ivan P.
;
Lumacad, Gernel S.
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/APSIT58554.2023.10201664
RT T1
2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)
: T1
Supervised and Unsupervised Learning Approaches for Characterizing High and Low Financially Vulnerable Households
UL https://suche.suub.uni-bremen.de/peid=ieee-10201664&Exemplar=1&LAN=DE A1 Flores, Janelle O. A1 Dayo, Justin Ivan P. A1 Lumacad, Gernel S. A1 Pacana, Alliah Marie B. A1 Intano, Chrystal Gem L. A1 Lagat, Hannah G. YR 2023 K1 Surveys K1 Costs K1 Pandemics K1 Local government K1 Electric shock K1 Buildings K1 Clustering algorithms K1 household financial vulnerability K1 k-means clustering K1 Boruta algorithm K1 feature selection SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/APSIT58554.2023.10201664 DO https://doi.org/10.1109/APSIT58554.2023.10201664 SF ELIB - SuUB Bremen
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