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News Wire / technology

Clustering Method Extended To Higher Dimensions

Modernity/arxiv 1h Impact 5
Researchers have extended the TCLUST method to higher dimensions, addressing the issue of outliers that distort clustering results. The work was authored by Lucía Trapote Reglero, Luis Ángel García Escudero, and Agustín Mayo Íscar.

Topics

clustering data science outlier detection

Developing

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Sources · 7 independent

Modernity/arxiv

“Extending TCLUST to higher dimensions. Authors: Lucía Trapote Reglero, Luis Ángel García Escudero, Agustín Mayo Íscar Abstract: Outliers are known to significantly distort the results of many commonly used clustering methods, often leadin...”

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