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1 Ergebnisse
1
Unsupervised Learning for Understanding Diversity: Applying..:
, In:
2024 International Conference on Control, Automation and Diagnosis (ICCAD)
,
Poly, Anisha
;
Banu, P K Nizar
;
Azar, Ahmad Taher
. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICCAD60883.2024.10553733
RT T1
2024 International Conference on Control, Automation and Diagnosis (ICCAD)
: T1
Unsupervised Learning for Understanding Diversity: Applying Feature Engineering and Cluster Analysis to Deaf and Hard of Hearing Data
UL https://suche.suub.uni-bremen.de/peid=ieee-10553733&Exemplar=1&LAN=DE A1 Poly, Anisha A1 Banu, P K Nizar A1 Azar, Ahmad Taher A1 Kamal, Nashwa Ahmad YR 2024 SN 2767-9896 K1 Electronic learning K1 Automation K1 Clustering algorithms K1 Auditory system K1 Unsupervised learning K1 DHH K1 personalization K1 feature engineering clustering K1 k-means SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICCAD60883.2024.10553733 DO https://doi.org/10.1109/ICCAD60883.2024.10553733 SF ELIB - SuUB Bremen
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