The Cauchy-Net Mixture Model for Clustering with Anomalous Data
We live in the data explosion era. The unprecedented amount of data offers a potential wealth of knowledge but also brings about concerns regarding ethical collection and usage. Mistakes stemming from anomalous data have the potential for severe, real-world consequences, such as when building predic...
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Virginia Tech
2019
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| Online Access: | http://hdl.handle.net/10919/93576 |