Unsupervised Approaches to Finding Outliers in Caption-Represented Images

Both supervised and unsupervised machine learning algorithms are often based on regression to the mean. However, the mean can easily be biased by unevenly distributed data, i.e., outlier records. Batch normalization methods address this problem to some extent, but they also influence the data. In te...

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Autors principals:	Jakub Zaprzałka, Magdalena Topczewska
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-06-01
Col·lecció:	Entropy
Matèries:	unsupervised learning data visualization outliers multidimensional scaling agglomerative clustering
Accés en línia:	https://www.mdpi.com/1099-4300/27/7/661
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