Identifying Outliers via Local Granular-Ball Density
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DOI: 10.1109/tnnls.2025.3578074
Abstract: Existing density-based outlier detection methods process data at the single-granularity level of individual samples, requiring pairwise distance calculations between all samples and exhibiting high sensitivity to noise. The single-granularity-based processing paradigm fails to mine the… read more here.
Keywords: ball density; local granular; granularity; granular ball ... See more keywords