Qualitative Data Clustering to Detect Outliers
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DOI: 10.3390/e23070869
Abstract: Detecting outliers is a widely studied problem in many disciplines, including statistics, data mining, and machine learning. All anomaly detection activities are aimed at identifying cases of unusual behavior compared to most observations. There are… read more here.
Keywords: detecting outliers; qualitative data; number; data clustering ... See more keywords