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Explainable clustering and application to wealth management..:
, In:
Proceedings of the First ACM International Conference on AI in Finance
,
Horel, Enguerrand
;
Giesecke, Kay
;
Storchan, Victor
. - p. 1-6 , 2020
Link:
https://dl.acm.org/doi/10.1145/3383455.3422530
RT T1 <cTitle>Proceedings of the First ACM International Conference on AI in Finance</cTitle>: T1 <Title>Explainable clustering and application to wealth management compliance</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3422530&Exemplar=1&LAN=DE A1 Horel, Enguerrand A1 Giesecke, Kay A1 Storchan, Victor A1 Chittar, Naren PB ACM YR 2020 K1 clustering K1 explainability K1 features importance K1 wealth management K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Unsupervised learning K1 Cluster analysis K1 Machine learning algorithms K1 Feature selection SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3383455.3422530 DO https://dl.acm.org/doi/10.1145/3383455.3422530 SF ELIB - SuUB Bremen
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